Guia do ggplot
Edson Nilton de Moura Silva Júnior
2022-11-23
1 O que é o ggplot
O ggplot é uma função da linguagem R, do package
ggplot2, usado para a construção de gráficos e lidar com
dados estatísticos. Nele, é possíve criar diferentes tipos de gráficos,
com diferentes configurações, para diferentes tipos de demandas.
1.1 Usar o ggplot ou os plot normais?
Se você já usa o R há algum tempo, e precisou criar gráficos, você já
deve saber, mas se você começou agora nesse mundo, saiba que é possível
criar gráficos apenas com o R, sem precisar de um package extra. Essas
são as funções como plot(), boxplot() e
hist().
1.2 A praticidade do ggplot
Por mais que os plots normais sejam mais fáceis de aprender, e relativamente mais rápidos, são muito rígidos e poucos práticos para configurá-los. No dia-a-dia das pesquisas, análises e relatórios, onde se está todo dia com diferentes tipos de dados, situações, exigências e demandas singulares, tanto para as análises quanto para expor esses resultados de diferentes maneiras a um público, como a apresentação de um seminário, uma banca avaliadora ou até uma empresa que contratou seus serviços, ter uma ferramenta como o ggplot, que permite que seja possível criar uma maior gama de diferentes tipos de gráficos, pode acabar sendo a diferença entre um gráfico informativo, prático e que economize tempo e dinheiro para entender um resultado e tomar uma decisão, e um gráfico ilegível e pouco entendível, gerando conflitos de interpretações, perda de tempo, de dinheiro, e até correndo o risco de tomar uma decisão errada. Tendo entendido o valor de se dedicar a entender e dominar o ggplot, vamos agora sim dar os primeiros passos.
2 Primeiros passos
2.1 Packages exigidos
library(tidyverse)Foi carregado o package tidyverse, que, aumaticamente,
carrega o package ggplot2.
2.2 Carregando a base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworldEssa é uma base de dados já pronta do package ggplot2,
sem ser necessário carregá-la externamente. Basta apenas chama-la por
“starwars”. É uma base de dados de diversos personagens da franquia Star
Wars, com dados como altura, peso, gênero, sexo, etc. Há outras bases no
ggplot2, que também podem ser utilizadas. É aconselhado sempre ler antes
sua base de dados, para saber os tipos de dados que está lidando, como
irá ser feito as análises, o gráfico, etc. Para ser mais fácil, essa
base de dados foi atribuída ao objeto SW. Não apenas o
package ggplot2, mas o próprio R possui bases de dddados já carregadas
que você pode acessar, como a base de dados iris.
2.3 Criando o tema
windowsFonts(TimesNewRoman = windowsFont("Times New Roman"))
tema<-theme(text=element_text(family="TimesNewRoman"),
title=element_text(color="black",size=15),
axis.text = element_text(color="black",size=10),
axis.title = element_text(color="black",size=10),
panel.grid=element_line(color="grey75",linetype = "dashed",size=.8),
axis.line=element_blank(),
plot.background=element_rect(fill="white",color="white"),
panel.background=element_rect(fill="white"),
panel.border = element_rect(colour = "black", fill = NA,size=0.59),
legend.key= element_rect(color="white",fill="white"))## Warning: The `size` argument of `element_rect()` is deprecated as of ggplot2 3.4.0.
## ℹ Please use the `linewidth` argument instead.## Warning: The `size` argument of `element_line()` is deprecated as of ggplot2 3.4.0.
## ℹ Please use the `linewidth` argument instead.Os gráficos podem ser personalizados em relação à sua estetítica,
escolhendo as cores do fundo, dos valores e das linhas de grade. Usa-se
a função theme() para isso, e atribuiu o tema criado ao
objeto tema. Será abordado com mais detalhes sobre isso no
capítulo 17.
2.4 Especifcando os eixos
SW %>%
ggplot(aes(height,mass))+
tema
Foi adicionada a função %\>% (pipe) à frente da base
de dados SW. Essa é uma função do package
tidyr, e serve para informar que comandos serão usados em
sequência. Nesse caso, foi utilizado para indicar que que os dados
utilizados no ggplot serão da base de dados SW.
Alternativamente, dentro de ggplot(), é possível usar o
comando data=, para indicar a base de dados que será
utilizada. Logo abaixo, fez-se a construção do ggplot, onde uma das
primeiras coisas ao se fazer no ggplot é especificar os eixos a serem
usados. Para isso, usa-se a função aes() (aesthetically),
que é a função que lida com a estética do gráfico, para indicar os
eixos. O primeiro termo que você utilizar em aes() sempre
será o eixo X, e o segundo, o eixo Y. Nestes,
estarão variáveis da própria base de dados.
2.5 Comandos
color=, fill=, alpha= e
label=
SW %>%
ggplot(aes(x=eye_color,y=mass))+
geom_boxplot(color="black",fill="green")+
geom_label(aes(label=name),size=2,alpha=0.2)+
tema## Warning: Removed 28 rows containing non-finite values (`stat_boxplot()`).## Warning: Removed 28 rows containing missing values (`geom_label()`).
SW %>%
ggplot(aes(x=eye_color,y=mass))+
geom_boxplot(color="black",fill="green")+
geom_text(aes(label=name),size=2.5,alpha=1)+
tema## Warning: Removed 28 rows containing non-finite values (`stat_boxplot()`).## Warning: Removed 28 rows containing missing values (`geom_text()`).
4 dos principais comandos que controlam as estéticas dos gráficos no ggplot são:
color: controla a cor de contorno que será utilizada;
fill: controla a cor de preenchimento que será utilizada;
alpha: controla a transparência do objeto do gráfico, onde varia de 0 (valor mínimo) até 1 (valor máximo);
label: controla os rótulos, caso use o comando
geom_label()(primeiro gráfico), ou textos, caso use o comandogeom_text()(segundo gráfico), que serão utilizados. Neste caso, tanto nos comandosgeom_label()quantogeom_text()usaram o umlabel=variável escolhida da base de dadosdentro de umaes().
O R usa um sistema de cores bastante vasto. É possível selecionar a cor colocando o nome da cor em inglês entre aspas (como na imagem abaixo), ou utilizando o sistema Color-Hex, que consiste em um # seguido por código com 6 caractéres. Os gráfico utilizados foram do tipo boxplot, que será melhor abordado no capítulo 13.
As diversas tonalidades e paletas de cores que o R
permite para o color= e o fill=. Ao serem
urilizadas, devem estre entre aspas.
2.6 Especificando os títulos dos eixos, do gráfico, das legendas e notas de roda-pé
SW %>%
ggplot(aes(height,mass))+
labs(title="gráfico",
x="eixo x",
y="eixo y",
caption ="nota de roda-pé")+
tema
Mais ainda, é possível selecionar como estarão o título e os eixos,
através da função labs():
title: adiciona o título ao gráfico;
x: adiciona e altera o título do eixo X;
y: adiciona e altera o título do eixo y;
caption: adiciona uma nota de roda-pé.
Além destes comandos básicos, todos aqueles que inseridos dentro do
comando aes() podem ser adicionados e alterados no comando
labs(). exemplos são os comandos color=,
fill=, alpha= e label=. Se algum
desses comandos for utilizado dentro do comando aes(),
serão atribuidos à estas variáveis da base de dados, e para alterar o
título destas nas legendas, basta apenas usar o mesmo comando em
labs(), e atribuir o título que deseja. Exemplo:
SW %>%
ggplot(aes(x=height,y=mass,color=sex,fill=gender,alpha=birth_year,label=name))+
geom_point()+
geom_label(size=0.5)+
labs(title="exemplo",
x="altura",
y="massa",
color="sexo do personagem",
fill="gênero do personagem",
alpha="ano de nascimento do personagem",
label="nome do personagem")+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).## Warning: Removed 28 rows containing missing values (`geom_label()`).
3 Gráfico de histograma
3.1 Quando usar
O hisograma é utilizado para criar uma distribuição de frequências,
quando deseja-se divdir um conjunto de variáveis em intervalos
(eixo X), e quantos dados cada um desses conjuntos possuem
(eixo Y). Exemplo: da base de dados starwars,
a maioria dos personagens possuem qual altura? É o que será feito
agora.
3.2 Packages exigidos
library(tidyverse)3.3 Carregando a base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld3.4 Criando o gráfico
SW %>%
ggplot(aes(height))+
geom_histogram()+
tema## Warning: Removed 6 rows containing non-finite values (`stat_bin()`).
Após especificar os eixos, é preciso especificar o tipo de gráfico a
ser feito. Para isso, se usa um + após a primeira linha do
ggplot, para especificar os próximos passos a serem feitos. Para fazer
um histograma, Se usa a função geom_histogram. Como os
histogramas são gráficos de variáveis únicas, se usará apenas a variável
height.
3.5 Colorindo o contorno das barras
SW %>%
ggplot(aes(height))+
geom_histogram(color="black")+
tema## Warning: Removed 6 rows containing non-finite values (`stat_bin()`).
Com a função color="black" em
geom_histogram, é possível criar linhas de borda que
dividem e diferenciem as barras. As coresna linguagem R são escritas em
inglês e em aspas, ou através de códigos do
sistema de cores Color Hex.
3.6 Colorindo as barras
SW %>%
ggplot(aes(height))+
geom_histogram(fill="green",color="black")+
tema## Warning: Removed 6 rows containing non-finite values (`stat_bin()`).
Com a função fill="green", é possível especificar o
preenchimento das barras no histograma, que nesse caso, serão verdes. É
possível também escolher outras cores.
4 Gráfico de densidade
4.1 Quando usar
O gráfico de densidade é utilizado quando se deseja criar um
resultado parecido ao de um histograma,
mas sem dividir os valores em categorias de intervalo: não
cria barras, mas sim uma linha que traça um caminho, sendo a sua altura
equivalente à quantidade de repetições que aquele intervalo possui. No
gráfico de densidade, o eixo X é contínuo, sem criar
intervalores, sendo a gráficação representada por uma linha. Exemplo: da
base de dados starwars, a maioria dos personagens possuem
qual altura, mas de uma forma contínua? É o que será feito agora.
4.2 Packages exigidos
library(tidyverse)4.3 Carregando a base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld4.4 Criando o gráfico
SW %>%
ggplot(aes(x=height))+
geom_density(size=1)+
labs(title="densidade das alturas dos personagens de Starwars",
x="densidade dos dados",
y="altura")+
tema## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.## Warning: Removed 6 rows containing non-finite values (`stat_density()`).
Agora o gráfico de densidade será o feito. Ele é utilizado para
entender em que espaço ou período mais os dados se concentram. Neste
caso, foi feito um gráfico de densidade para entender qual é a altura da
maioria dos personagens da base de dados SW. Como é
possível observar no gráfico, a maioria dos personagens possui uma
altura entre 1,5-1,8m.
4.5 Separando por cores em relação ao sexo dos personagens
SW %>%
ggplot(aes(height,color=sex))+
geom_density(size=1)+
labs(title="densidade das alturas dos personagens de Starwars,
baseado pelo sexo",
x="densidade dos dados",
y="altura",
color="sexo")+
tema## Warning: Removed 6 rows containing non-finite values (`stat_density()`).## Warning: Groups with fewer than two data points have been dropped.## Warning in max(ids, na.rm = TRUE): nenhum argumento não faltante para max;
## retornando -Inf
No gráfico anterior, todos os personagens estavam em uma mesma linha
de densidade, sem nenhuma descriminação por características deles.
Agora, foram feitas linhas para os personagens em função do seu sexo, da
variável sex da base de dados. Nesse caso, como se
adicionará uma estética para diferenciar a altura baseado na variável
sexo dos personagens, então se adicionaá color=sex na
função aes(). Isso significa que as cores das linhas devem
ser diferenciadas em relação ao sexo dos personagens. COmo é possível
observar, quando é descriminado pelo sexo, os siferentes sexos possuem
diferentes densidades nos seus dados.
5 Gráficos de dispersão
5.1 Quando usar
O gráfico de dispersão é utilizado para interpretar como determinados
dados são distribuídos em relação à uma variável contínua
(eixo X) sobre outra variável contínua
(eixo Y). É muito utilizado quando se deseja entender como
um fator influenciando outro gera um perfil de comportamento em dados
resultantes das interações dos fatores, como em estudos de regressão,
que será explicado no capítulo 12. Exemplo: da base de dados
starwars, personagens mais mais altos são mais pesados
(possuem maior massa)?
5.2 Packages exigidos
library(tidyverse)5.3 Carregando base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld5.4 Pergunta: Personagens mais altos tem maior peso?
SW %>%
ggplot(aes(height,mass))+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
Como esse gráfico criado tem o intuíto de responder onde os pontos de
realção das variáveis de massa (mass) e altura
(altura) se estabelecem, com a função
geom_point() é possível criar um gráfico de dispersão,
através de pontos. Para isso, é preciso especificar as variáveis do eixo
X e o eixo Y em aes(). Contudo, há um ponto muito alto, com
um valor de massa > 1000, que compromete a interpretação. Para
contornar isso, os dados devem ser filtrados.
5.5 filtrando os pontos discrepantes
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
tema
Como havia um ponto solitário com um valor muito alto > 1000, a
interpretação do gráfico ficou comprometida. Para resolver isso, usa-se
a função filter(), do package dplyr, onde esta
faz um filtro dos tipo de dados que serão inseridos, e com base no que
esses dados serão filtrados. Como deseja-se filtrar um ponto de massa
muito alto, que gerou um aoutlier, é feito
filter(mass<1000), para especificar que só devem entrar
dados de massa com valores abaixo de 1000.
5.6 Criando uma linha de tendência linear
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method="lm",color="red")+
tema
Agora, como se deseja saber qual é a tendência dos dados, para então
responder a pergunta anteriormente feita, com a função
geom_smooth() é possível criar uma linha de tendência, para
então interpretar melhor como os valores se distribuem no gráfico. Com o
argumento lm, cria-se uma
linha de tendência linear. Com esses resultados, é possivel
dizer que existe uma tendência de um personagem da base da dados ter
mais massa quanto mais alto ser.
5.7 Modelo polinomial
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method="loess",color="red")+
tema
Além da linha de tendência linear, também épossível criar outras
linhas de tendência. Com o argumento method="loess",
cria-se uma linha de tendência polinomial, mostrando que a linha segue
de outra forma a distribuição dos dados.
5.8 Usando os dois métodos
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method="loess",color="red")+
geom_smooth(method="lm",color="red")+
tema
É possivel criar duas linhas antes feitas, ao mesmo tempo, apenas
usando duas vezes a função geom_smoth(). Contudo, por serem
da mesma cor, isso acaba prejudicando a interpretação. Para resolver
isso, então é necessário defenciá-las, como por cores.
5.9 Diferenciando as linhas por cores
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method="loess",color="sienna1")+
geom_smooth(method="lm",color="royalblue1")+
tema
Usando o comando color= em cada
geom_smoth(), é possível então fazer uma melhor
interpretação das tendências, selecionando uma cor específica para cada
tipo de linha.
5.10 Diferenciando os tipos de dados por cor. Pergunta: como é a tendência de cada sexo?
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass,color=sex,fill=sex))+
labs(title="Alturas dos personagens de Starwars em relação à massa,
baseado pelo sexo",
x="altura",
y="massa",
color="sexo",
fill="sexo")+
geom_point(color="black",shape=21,size=4)+
geom_smooth(method="lm",aes())+
tema
Neste caso, como o objetivo é entender essa mesma relação, mas para
cada um dos sexos dos personagens, será feito uma descriminação, baseada
nessa característica. Para poder difernciar os dados por cores e fazer
cada um ter sua linha de tendência, usa-se o argumento
color=sex e fill=sex em aes(),
para especificar que se deseja fazer uma diferenciação baseada no sexo
dos personagens. Com esses dados, é possil ver que o sexo feminino é que
teve a menor tendência.
5.11 Adicionar linhas horizontais e verticais
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="altura",
y="massa")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_hline(yintercept = 80)+
geom_vline(xintercept=125)+
tema
Caso fosse preferíveel separar os dados por setores, é também
possível, traçando linhas que cortam o gráfico. Com a função
geom_hline(), é possível traçar uma
linha horizontal que corta o gráfico, especificando o ponto
do eixo Y que a linha passará, através do argumento
yintercept=. O mesmo vale para criar uma linha vertical,
usando a função geom_vline(), com o argumento
xintercept=. Os pontos que as linhas passarão serão os
valores dos elementos yintercept= e
xintercept=.
5.12 Definindo o tipo da linha
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="densidade dos dados",
y="altura")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_hline(yintercept = 80,linetype="dashed")+
geom_vline(xintercept=125,linetype="dotted")+
tema
Também é possível definir o tipo de linha pela função
linetype=. O tipo de linha deve estar entre aspas, e em
inglês.
5.13 Definindo a cor da linha
SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass))+
labs(title="Alturas dos personagens de Starwars em relação à massa",
x="densidade dos dados",
y="altura")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_hline(yintercept = 80,linetype="dashed")+
geom_vline(xintercept=125,linetype="dotted",color="red")+
tema
Também é possível definir a cor da linha, pelo elemento
color=.
6 Gráficos de barras/colunas
6.1 Quando usar
O gráfico de barras é utilizado quando o objetivo é entender o quanto
de unidades amostrais, contágens ou repetições uma variável qualitativa
possui dentro de uma base de dados. Um exemplo é o quanto de observações
são feitas para três espécies diferentes em algum local de estudo. Nesse
gráfico, no eixo X ficam as
variável qualitativas, e no eixo Y as
variáveis quantitativas. É bastante semelhante ao gráfico
de histograma e de sensidade, mas a diferença é que este usa,
obrigatoriamente, dados qualitativos no eixo X. Exemplo: na
base de dados starwars, qual é a cor de olho que a maioria
dos personagens possuem?
6.2 Packages exigidos
library(tidyverse)6.3 Carregando base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld6.4 Criando o gráfico
SW %>%
ggplot(aes(eye_color,mass))+
geom_bar(stat = "identity")+
labs(title="Número de personagens por cores de olho",
x="cor do olho",
y="massa")+
tema## Warning: Removed 28 rows containing missing values (`position_stack()`).
Nesse caso, foi graficado a massa de cada personagem baseado em sua
cor de olho. Para isso, dentro do peimeiro aes(), foi
adicionado uma variável qualitativa (cor do olho) ao eixo X
e uma variável quantitativa (massa) ao eixo Y. Para usar o
gráfico de barras, foi usada a função geom_bar().
6.5 Gráfico baseado na quantidade de personagens pela cor de olho
SW %>%
group_by(eye_color) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem))+
geom_bar(stat = "identity")+
labs(title="Número de personagens por cores de olho",
x="cor do olho",
y="n° de ocorrência")+
tema
Alternativamente ao modo do gráfico anterior, é possível criar
gráfico com a altura das barras baseado no número de unidades amostrais
de uma variável qualitativa, como o número de personagens por cada cor
de olho. Uma forma de fazer isso é a base de dados possuir uma variável
quantitativa com esses dados. Outro forma, é manipular os dados para
criar essa contagem. No gráfico acima, foi feito isso, com a função
group_by(), onde foram criados grupos baseado na cor dos
olhos dos personagens, e a função summarise(), para a fazer
a contagem destes dados e atribuido ao objeto contagem,
para que fosse possível adicionar ao ggplot.
6.6 Envertendo os eixos
SW %>%
group_by(eye_color) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem))+
geom_bar(stat = "identity")+
labs(title="Número de personagens por cores de olho",
x="cor do olho",
y="n° de ocorrência")+
coord_flip()+
tema
Para que seja mais fácil de observar os nomes no eixo X,
é poossível inveter a posição dos eixos, atraves da função
coord_flip().
6.7 Personalizando por cores
SW %>%
group_by(eye_color) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem))+
geom_bar(stat = "identity",fill="lightblue",color="black")+
labs(title="Número de personagens por cores de olho",
x="cor do olho",
y="n° de ocorrência")+
coord_flip()+
tema
Mais ainda, é possível adicionar uma cor de contorno e preenchimento para as barras.
6.8 Adicionar rótulos
SW %>%
group_by(eye_color) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem,label=contagem))+
geom_bar(stat = "identity",fill="lightblue",color="black")+
labs(title="Número de personagens por cores de olho",
x="cor do olho",
y="n° de ocorrência")+
coord_flip()+
geom_label()+
tema
Para ser mais visível de interpretar os valores de cada grupo, também
é possível adicionar rótulos às barras, estes contendo os seus valores,
com a função geom_label().
6.9 Personalizando os rótulos
SW %>%
group_by(eye_color) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem,label=contagem))+
geom_bar(stat = "identity",fill="green",color="black",alpha=0.5)+
labs(title="Número de personagens por cores de olho",
x="cor do olho",
y="n° de ocorrência")+
coord_flip()+
geom_label(size=3,fill="green")+
coord_flip()+
tema
Os rótulos também podem sua estética editada, sendo que
size= altera o tamanho, fill= altera o
preenchimento e alpha= altera a transparência.
6.10 Grupos múltiplos: agrupar por cor de olho e sexo
SW %>%
group_by(eye_color,sex) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem,fill=sex))+
geom_bar(stat = "identity", color="black")+
labs(title="Número de personagens por cores de olho,
em relação ao sexo",
x="cor do olho",
y="n° de ocorrência",
fill="sexo")+
coord_flip()+
tema
É possível também agrupar as barras em relação à porcentagem de uma
variável da base de dados. Nesse caso, agrupando pelo sexo dos
personagnes, dentro da função aes(), se adiciona a variável
fill=sex.
6.11 Detalhes em brown, blue e black, barras lado a lado, com label
SW %>%
filter(eye_color %in% c("brown","blue","black")) %>%
group_by(eye_color,sex) %>%
summarise(
contagem = n()
) %>%
ggplot(aes(eye_color,contagem,fill=sex, label=contagem))+
geom_bar(stat = "identity",position = "dodge",color="black", alpha=0.5)+
labs(title="Número de personagens por cores de olho,
em relação ao sexo e 3 cores de olho específicas",
x="cor do olho",
y="n° de ocorrência",
fill="sexo")+
geom_label(position = position_dodge(width = 1))+
tema
Para separar apenas os olhos de cor marrom (brown), azul
(blue) e preto (black), usa-se a função
filter(), com o comando %in%, para a variável
eye_color, especificando quais as cores de olho a serem
selecionadas. Na função group_by(), se adicionará as
variáveis eye_color e sex para especificar que
se formaram grupos baseados na quantidade de indivíduos com uma cor de
olho por determinado sexo, e então, a função
summarise().
7 Gráficos de barras de erro
7.1 Quando usar
Esse gráfico pode ser utilizado em duas principais situações: quando
se deseja entender o erro ou a incerteza dos dados trabalhados em uma
análise ou quando os valores dos objetos de uma variável qualitativa
possuem valores mínimos e máximos diferentes. No primeiro caso, quanto
menor a barra de erro, menor a incerteza dos dados. Exemplo: na base
dados starwars, numa análise do genêro dos personagens,
qual gênero possui uma maior incerteza sobre os dados das suas
alturas?
7.2 Packages exigidos
library(tidyverse)7.3 Carregando os dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld7.4 Calcular o desvio padrão da altura entre os gêneros
médias<-SW %>%
filter(!is.na(height)) %>%
group_by(gender) %>%
summarise(
media = mean(height),
limite_superior = mean(height) + sd(height),
limite_inferior = mean(height) - sd(height)
)
médias ## # A tibble: 3 × 4
## gender media limite_superior limite_inferior
## <chr> <dbl> <dbl> <dbl>
## 1 feminine 165. 188. 141.
## 2 masculine 177. 214. 139.
## 3 <NA> 181. 184. 178.Para a criação de um gráfico de desvio padrão, é necessário antes
calcular a média, o limite superior e o
limite inferior de uma variável da bse de dados. Nesse
caso, procura-se saber da altura (height) em relação aos
gêneros dos personagens. Para isso, é usado a função
filter(), adicionando a função !is.na para
retirar os valores nulos (NA) da altura. Logo em seguida, é
feito o group_by() para a variável gênero
(gender), o summarise(), para calcular a
média, o limite superior e o
limite inferior. Tudo isso então é atribuído ao objeto
médias.
7.5 Criando o gráfico de barras de erro
médias %>%
ggplot(aes(x=gender,y=media))+
labs(title="média da altura dos personagens em relação ao gênero",
x="gênero",
y="média")+
geom_bar(stat="identity",color="black")+
geom_errorbar(aes(ymin = limite_inferior, ymax = limite_superior), width = 0.2)+
tema
Nesse caso, não se usará a base de dados SW, mas sim a
base de dados médias. Para criar o gráfico de erro, será
usado tanto a função geom_bar(), para criar as barras das
médias em relação ao gênero, quanto a função
geom_errorbar(), parar criar as barras de erro. Dentro de
geom_errorbar(), na função aes(), é
especificado o limite inferior (ymin), o limite superior
(ymin) e a alarbura das barras de erro
width=..
7.6 Criando o gráfico com pontos nos lugares das médias
médias %>%
ggplot(aes(x=gender,y=media))+
labs(title="média da altura dos personagens em relação ao gênero",
x="gênero",
y="média")+
geom_pointrange(color="black",fill="gray",shape=21,size=1,
aes(ymin = limite_inferior, ymax = limite_superior))+
tema
É possível também substituir as barras, colocando pontos nos valores
das médias, usando a função geom_pointrange().
7.7 Difernciando por cores
médias %>%
ggplot(aes(x=gender,y=media,fill=gender))+
labs(title="média da altura dos personagens em relação ao gênero,
em relação so gênero",
x="gênero",
y="média",
fill="gênero")+
geom_pointrange(color="black",shape=21,size=1,
aes(ymin = limite_inferior, ymax = limite_superior))+
tema
Para diferenciar as linhas e as médias em função do gênero, é
adicionado a função color=gender na função
aes().
7.8 Exemplo de experimento
dados<-data.frame(
metricas<-c("m1","m2","m3","m4","m5"),
limite_inferior<-c(-3.5,-2.5,1,4,8),
limite_superior<-c(1,1.5,3,7,10),
significativo<-c("não","não","sim","sim","sim")
)
dados %>%
ggplot(aes(metricas, color= significativo))+
geom_errorbar(size=1,aes(ymin = limite_inferior, ymax = limite_superior),width=0.2)+
geom_hline(yintercept = 0,linetype="dotted",color="black")+
tema
Esse foi um experimento usando dados criados, para averiguar se o
erro padrão dos elementos (m1, m2, m3, m4, m5). Para isso, dentro da
função aes() se adicionou color=significativo,
para separar os elementos ccom relção a essa variável. Como o erro
padrão só é significativo com valores de limite superior e
limite inferior forem acima de 0, então pode-se traçar uma
linha horizontal no ponto 0 para melhor interpretar, pela função
geom_hline().
7.9 Alterando as métricas nos eixos
dados %>%
ggplot(aes(metricas, color= significativo))+
geom_errorbar(size=1,aes(ymin = limite_inferior, ymax = limite_superior),width=0.2)+
geom_hline(yintercept = 0,linetype="dotted",color="black")+
theme_light()+
coord_flip()+
tema
7.9.0.0.1 Também é
possível alterar a posição dos eixos, pela função
coord_flip().
8 Gráfico de linhas
8.1 Quando usar
Bem semelhante ao gráfico de dispersão, esse gráfico é utilizado
quando se deseja entender o comportamento dos dados resultantes da
interação de uma variável contínua (eixo X) com outra
variável contínua (eixo Y). Mas ao invés de de usar pontos
dispersos pelo gráfico, é utilizado uma ou mais linhas, sendo mais esse
modelo de gráfico mais utilizado para tratar com séries temporais.
Exemplo: utilizando a base de dados economics, como foi a
taxa de desemprego dos Estados Unidos ao longo das décadas recentes?
8.2 Packages exigidos
library(tidyverse)
library(gapminder)8.3 Carregando base de dados
Ecs<-economics
Ecs## # A tibble: 574 × 6
## date pce pop psavert uempmed unemploy
## <date> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1967-07-01 507. 198712 12.6 4.5 2944
## 2 1967-08-01 510. 198911 12.6 4.7 2945
## 3 1967-09-01 516. 199113 11.9 4.6 2958
## 4 1967-10-01 512. 199311 12.9 4.9 3143
## 5 1967-11-01 517. 199498 12.8 4.7 3066
## 6 1967-12-01 525. 199657 11.8 4.8 3018
## 7 1968-01-01 531. 199808 11.7 5.1 2878
## 8 1968-02-01 534. 199920 12.3 4.5 3001
## 9 1968-03-01 544. 200056 11.7 4.1 2877
## 10 1968-04-01 544 200208 12.3 4.6 2709
## # … with 564 more rowsNesse caso, não será usado a base de dados starwars, mas
sim a base de dados economics. Essa base de dados também é
do package ggplot, que apresenta dados de séries econômicas da história
dos Estados Unidos.
8.4 Criando o gráfico
Ecs%>%
ggplot(aes(date,unemploy))+
labs(title="desemprego nos Estados Unidos entre 1970-2015",
x="data",
y="desemprego")+
geom_line(size=1)+
tema
Para criar um gráfico de linhas, usa-se a função
geom_line(). Na função aes(), usar-se as
variáveis de datas (date) para o eixo X e de
desempregados/1000 (unemploy).
8.5 Definir a escala das datas
Ecs%>%
ggplot(aes(date,unemploy))+
labs(title="desemprego nos Estados Unidos entre 1990-2000",
x="data",
y="desemprego")+
geom_line(size=1)+
scale_x_date(limits = c(as.Date("1990-01-01"),as.Date("1999-12-31")))+
tema## Warning: Removed 454 rows containing missing values (`geom_line()`).
Em alguns casos, é desejável analisar um período específico, também é
possível fazer um recorte de um período específico de tempo. Usa-se a
função scale_x_date(), onde se definem as datas, já que
avariável date é feita dados temporais, e está no eixo
X. Se define da data inical e a final onde se deseja
avaliar, onde a ordem da data é ano-mês-dia.
8.6 Gráficos de linhas com pontos
Gap<-gapminder
Gap## # A tibble: 1,704 × 6
## country continent year lifeExp pop gdpPercap
## <fct> <fct> <int> <dbl> <int> <dbl>
## 1 Afghanistan Asia 1952 28.8 8425333 779.
## 2 Afghanistan Asia 1957 30.3 9240934 821.
## 3 Afghanistan Asia 1962 32.0 10267083 853.
## 4 Afghanistan Asia 1967 34.0 11537966 836.
## 5 Afghanistan Asia 1972 36.1 13079460 740.
## 6 Afghanistan Asia 1977 38.4 14880372 786.
## 7 Afghanistan Asia 1982 39.9 12881816 978.
## 8 Afghanistan Asia 1987 40.8 13867957 852.
## 9 Afghanistan Asia 1992 41.7 16317921 649.
## 10 Afghanistan Asia 1997 41.8 22227415 635.
## # … with 1,694 more rowsGap%>%
filter(country=="Brazil") %>%
ggplot(aes(year,pop))+
labs(title="População brasileira entre 1955-2015",
x="data",
y="população")+
geom_line(size=0.7)+
geom_point(color="black",fill="yellow",shape=21,size=3.5)+
tema
Para criar pontos nas linhas, semelhante ao que o Excel produz, é
necessário usar a função gapminder, carregando uma base de
dados da população de diversos lugares do mundo, desde a década de 1950.
Usa-se a função filter() para selecionar o Brasil, e então
usa-se as funções geom_line() e
geom_point().
8.7 Gráfico com múltiplas linhas
Gap%>%
filter(country %in% c("Brazil","Uruguay","Argentina")) %>%
ggplot(aes(year,pop,color=country,fill=country))+
labs(title="População da Argentina, Brasil e Uruguai entre 1955-2015",
x="data",
y="população",
color="país",
fill="país")+
geom_line()+
geom_point(color="black",shape=21,size=3)+
tema
Para analisar mais de um tipo de dado ao mesmo tempo, como entender o
crescimento populacional de diferentes lugares numa mesma escala de
tempo. Com a função filter(), é possível selecionar mais de
um país por vez, através da função country %in% c(), e a
função color=country em aes() para poder
diferenciar os países através de cores diferentes.
8.8 Criando uma escala de cor
Ecs%>%
ggplot(aes(date,unemploy,color=pop))+
labs(title="desemprego nos Estados Unidos entre 1970-2015",
x="data",
y="desemprego",
color="população")+
geom_line(size=1)+
tema
Como é um gráfico de linha, para selecionar a cor da linha, é
selecionado a função color= no comando aes().
Nesse caso, para criar uma cor em função de um gradiente, é usado a
variável pop. Por ser uma variável quantitativa contínua, a
cor da linha está em um gradiente.
8.8.1 Alterando a cor da escala
Ecs%>%
ggplot(aes(date,unemploy,color=pop))+
labs(title="desemprego nos Estados Unidos entre 1970-2015",
x="data",
y="desemprego",
color="população")+
geom_line(size=1)+
scale_color_gradient(low="yellow",high="brown")+
tema
Com a função scale_color_gradient() é possível
selecionar um gradiente específico de cores selecionadas. O elemento
low= é a cor dos valores mais baixos, e o elemento
high= é a cor dos valores mais altos. É aconselhado usar
cores claras em low= e cores mais escuras em
high=.
8.8.2 Escolhendo uma paleta com mais cores
Ecs%>%
ggplot(aes(date,unemploy,color=pop))+
labs(title="desemprego nos Estados Unidos entre 1970-2015",
x="data",
y="desemprego",
color="população")+
geom_line(size=1)+
scale_color_gradientn(colours =c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"),breaks=seq(0,325000,20000))+
tema
Com o comando scale_color_gradientn(), com o comando
interno colours=c(), é possível não apenas escolher um
gradiente com mais cores, onde aqui foram usadas 16 cores diferentes,
como também definir o intervalo dos valores do gradiente, com o comando
interno breaks=seq(), onde o primeiro valor é o valor
inicial, o segundo valor é o valor final e o terceiro valor é o
intervalo de cada valor.
9 Gráfico de frequência
9.1 Quando usar
Esse gráfico é utilizado quando se deseja identificar o quanto cada
variável contribui para formar o todo, e qual variável se faz mais
presente. É um tipo de gráfico bastante utilizado para identificar,
dentro de um conjunto de eventos ou ações, quem mais apresentou ações,
contribuições para formar o conjunto todo, ou seja,
frequência, como na contribuição de certos funcionários
para um produto. É semelhante ao gráfico de barras, mas nesse, é
possível limitar à apenas 1 única barra, ou até criar um
gráfico de pizza. Exemplo: da base de dados
starwars, qual gênero representa a maioria dos oersonagens?
É o que será feito agora.
9.2 Packages exigidos
library(ggplot2)
library(tidyverse)9.3 Carregando base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld9.4 Criando a freqência de personagens por gênero
gênero<-starwars %>%
group_by(gender) %>%
summarise(
n = n()
)
gênero## # A tibble: 3 × 2
## gender n
## <chr> <int>
## 1 feminine 17
## 2 masculine 66
## 3 <NA> 4Para facilitar o uso dos dados, foi atribuído ao objeto
gênero a frequência dos gêneros da variável
gender, através da função group_by() e
summarise(), criando assim a variável n,
correspondente ao nº de personagens de cada gênero.
9.5 Criando o gráfico
gênero %>%
ggplot(aes(gender,n,fill=gender,label=n))+
labs(title="n° de personagens de Stawars por gênero",
x="gênero",
y="n° de ocorrência",
fill="gênero")+
geom_bar(stat="identity",color="black",alpha=0.5)+
coord_flip()+
geom_label(color="black")+
tema
Com a função geom_bar() para criar barras, com a função
stat=identity, e alpha=0.5 para deixar as
barras transparente, a função coord_flip para enverter os
eixos, a função geom_label() para adicionar rótulos às
barras e a função label=n na função aes() para
adicinar o valor dos rótulos, foi feito o gráfico de frequência.
9.6 Criando o gráfico com apenas 1 barra
gênero %>%
ggplot(aes("",n,fill=gender,label=n))+
labs(title="n° de personagens de Stawars por gênero",
x=NULL,
y="n° de ocorrência",
fill="gênero")+
geom_bar(stat="identity",color="black",alpha=0.5,width=0.3)+
coord_flip()+
geom_label(position = position_stack(vjust=0.5),color="black")+
theme_void()+
tema
Removendo a variável gender, alterando a largura da
barra com a função width=0.3, usando a função
position = position_stack(vjust=0.5) para posicionar
corretamente os rótulos e a função theme_void() para
remover todos os elementos do fundo, fica apenas as barrras e seus
respectivos rótulos.
9.7 Criando o gráfico de pizza
gênero %>%
ggplot(aes("",n,fill=gender,label=n))+
labs(title="n° de personagens de Stawars por gênero",
x=NULL,
y=NULL,
fill="gênero")+
geom_bar(stat="identity",color="black",alpha=0.5,width=0.3)+
coord_flip()+
coord_polar(theta="y",start=0)+
geom_label(position = position_stack(vjust=0.5),color="black")+
tema
Com a função coord_polar(), é possível criar um gráfico
circulas, de pizza, com os mesmos elementos usadoa anteriormente.
10 Gráficos de correlação
10.1 Quando usar
O gráfico de correlação é utilizado para entender relações de
porporcionalidade de covariância entre duas variáveis quantitativas
contínuas, sendo esta uma relação diretamente proporcional
(positiva: à medida que uma variável cresce, a outra crescerá junto)
ou inversalmente proporcional
(negativa: à medida que uma cresce, outra diminuirá).
Exemplo: da base de dados mtcars, o peso dos carros está
correlacionado com o nº de galões por milhas? É o que será feito
agora.
10.2 Packages exigidos
library(tidyverse)
library(ggcorrplot)10.3 Carregando base de dados
MC<-mtcars
MC## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
## Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
## Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
## Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
## Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
## Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
## Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
## Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
## Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
## Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
## Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
## Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
## Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
## Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
## Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
## Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
## Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
## Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
## Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
## Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
## Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
## Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
## AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
## Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
## Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
## Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
## Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
## Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
## Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
## Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
## Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
## Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2Para esse exemplo, a base de dados usada sera a mtcars,
que descreve dados de carros. Dados estes extraídoss de 1974 da Revista
de Estadunidense de Tendência de Motores, e então essa base dados
atribuída ao objeto MC.
10.4 calculando a métrica de correlação
COR<-cor(MC$wt,MC$mpg)
COR## [1] -0.8676594Esse resultado mostra que há uma relação inversalmente proporcional
entre as variáveis calculadas da correlação (R=-0.86).
próximo de R=1: correlação diretamente proporcional;
próximo de R=0: ausência de correlação;
próximo de R=-1: correlação inversalmente proporciona.
10.5 Calculando a correlação de várias variáveis da de correlação
CORR<-cor(MC)
CORR## mpg cyl disp hp drat wt
## mpg 1.0000000 -0.8521620 -0.8475514 -0.7761684 0.68117191 -0.8676594
## cyl -0.8521620 1.0000000 0.9020329 0.8324475 -0.69993811 0.7824958
## disp -0.8475514 0.9020329 1.0000000 0.7909486 -0.71021393 0.8879799
## hp -0.7761684 0.8324475 0.7909486 1.0000000 -0.44875912 0.6587479
## drat 0.6811719 -0.6999381 -0.7102139 -0.4487591 1.00000000 -0.7124406
## wt -0.8676594 0.7824958 0.8879799 0.6587479 -0.71244065 1.0000000
## qsec 0.4186840 -0.5912421 -0.4336979 -0.7082234 0.09120476 -0.1747159
## vs 0.6640389 -0.8108118 -0.7104159 -0.7230967 0.44027846 -0.5549157
## am 0.5998324 -0.5226070 -0.5912270 -0.2432043 0.71271113 -0.6924953
## gear 0.4802848 -0.4926866 -0.5555692 -0.1257043 0.69961013 -0.5832870
## carb -0.5509251 0.5269883 0.3949769 0.7498125 -0.09078980 0.4276059
## qsec vs am gear carb
## mpg 0.41868403 0.6640389 0.59983243 0.4802848 -0.55092507
## cyl -0.59124207 -0.8108118 -0.52260705 -0.4926866 0.52698829
## disp -0.43369788 -0.7104159 -0.59122704 -0.5555692 0.39497686
## hp -0.70822339 -0.7230967 -0.24320426 -0.1257043 0.74981247
## drat 0.09120476 0.4402785 0.71271113 0.6996101 -0.09078980
## wt -0.17471588 -0.5549157 -0.69249526 -0.5832870 0.42760594
## qsec 1.00000000 0.7445354 -0.22986086 -0.2126822 -0.65624923
## vs 0.74453544 1.0000000 0.16834512 0.2060233 -0.56960714
## am -0.22986086 0.1683451 1.00000000 0.7940588 0.05753435
## gear -0.21268223 0.2060233 0.79405876 1.0000000 0.27407284
## carb -0.65624923 -0.5696071 0.05753435 0.2740728 1.00000000Com a função cor(), é possível calcular o indice de
correlação entre as diversas variáveis da base de dados
MC.
10.6 Criando um gráfico com as correlações feitas
ggcorrplot(CORR)+
tema
Criando índices de correlação das variáveis da base de dados
mtcars e atribuindo ao objeto CORR, usando a
função ggcorplot(), é possível criar um gráfico de
correlação das variáveis. Nesse tipo de gráfico, os pontos mais
vermelhos representam as maiores correlações diretalmente proporcionais,
e os pontos mais azuis representam as maiores correlações inversalmente
porporcionais.
10.7 Criando um gráfico com as correlações feitas, mas com círculos
ggcorrplot(
CORR,
method="circle"
)+
tema
Também é possível usar círculos como os pontos das correlação,
através do comando method="circle".
10.8 Ordenamento das variáveis por agrupamento hierarquico
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE
)+
tema
Também é possível agrupar de maneira hierarquica, para facilitar o
entendimento do gráfico em realação às correlações das variáveis, com o
comando hc.order=TRUE.
10.9 Gráfico sem espelhamento
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE,
type="lower"
)+
tema
Nos gráficos anteriores, eram gráficos espelhados, o que poderia
torná-los não apenas redundantes, como também poder comprometer a sua
interpretação. Para solucionar essa questão, Com a função
type="lower" é possível criar um gráfico mais simples.
10.10 Adicionando o valor da correlação
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE,
type="lower",
lab=TRUE
)+
tema
Para facilitar mais ainda o entendimento, é possível também adicionar
os valores aoss pontos da correlação, com a função
lab=TRUE.
10.11 Alterando o tamanho da fonte
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE,
type="lower",
lab=TRUE,
lab_size = 3.5
)+
tema
Em caso do valor ficar desporpociaonal aos tamanhos dos pontos da
correlação, também é possível ajustar o tamanho da fonte dos rótulos,
com a função lab_size=3.5.
10.12 Deixar em branco as correlações não significativas
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE,
type="lower",
lab=TRUE,
lab_size = 3.5,
p.mat = cor_pmat(MC),
insig = "blank"
)+
tema
Para fins didáticos, em caso de apenas desejar os pontos com valores
de correlação significativos, também é possível excluir os valores não
significativos (<0.5, >-0.5).
10.13 Alterando o título da legenda
CORR<-cor(MC)
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE,
type="lower",
lab=TRUE,
lab_size = 3,
p.mat = cor_pmat(MC),
insig = "blank",
legend.title="coeficiente de correlação"
)+
tema
Com a função legend.title=, é possível determinar o
título do da legenda do gráfico de correlação.
10.14 Definindo as cores
CORR<-cor(MC)
ggcorrplot(
CORR,
method="circle",
hc.order=TRUE,
type="lower",
lab=TRUE,
lab_size = 3,
p.mat = cor_pmat(MC),
insig = "blank",
legend.title="coeficiente de correlação",
colors=c("red","yellow","green")
)+
tema
Com a função colors=c(), é possível escolher as conres.
Devem ser escolhidos três cores, com seus nomes em inglês e entre aspas.
É aconselhado que a segunda cor seja uma cor que consiga ser transitória
entre os extremos.
11 Gráfico de regressão
11.1 Quando usar
Semelhante ao gráfico de correlação, o gráfico de regressão é
utilizado quando as análises são feitas com dados com
variáveis dependentes e
variáveis independentes, quando há sim uma relação de
causalidade entre as variáveis, através de uma graficação de dispersão
de pontos no gráfico. Nesse caso, o objetivo desse gráfico é mostrar as
realações de causa e efeito, através tanto da dispersão dos dados quanto
pelo parâmetro R². Exemplo: na base de dados mtcars, o nº
de cilindros é ditado pelo nº de galões por milhas?
11.2 Packages exigidos
library(tidyverse)
library(ggpubr)11.3 Carregando base de dados
MC<-mtcars
MC## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
## Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
## Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
## Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
## Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
## Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
## Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
## Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
## Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
## Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
## Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
## Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
## Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
## Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
## Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
## Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
## Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
## Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
## Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
## Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
## Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
## Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
## AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
## Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
## Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
## Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
## Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
## Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
## Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
## Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
## Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
## Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 211.4 Criando gráfico de correlação
MC %>%
ggplot(aes(carb, mpg))+
labs(title="relação entre o n° carburadores por nº milhas/galão",
x="n° de carburadores",
y="nº milhas/galão")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
tema
Para criar o gráfico de regressão, primeiro é feito o gráfico de
dispersão, usando a função geom_point(), e adicionando às
variáveis carb ao eixo X e mpg ao
eixo Y, dentro do comando aes().
11.5 Criando a curva de regressão
MC %>%
ggplot(aes(carb, mpg))+
labs(title="relação entre o n° carburadores por nº milhas/galão",
x="n° de carburadores",
y="nº milhas/galão")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method = "lm", col="red", se=FALSE,formula = "y~x")+
tema
É então calculada a curva de regressão dos dados, com a função
geom_smooth(). É usado o comando method="lm",
assim como anteriormente doi feito nos gráficos de dispersão.
11.6 Criando a equação derivada da regressão e o R²
MC %>%
ggplot(aes(carb, mpg))+
labs(title="relação entre o n° carburadores por nº milhas/galão",
x="n° de carburadores",
y="nº milhas/galão")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method = "lm", col="red", se=FALSE,formula = "y~x")+
stat_regline_equation(aes(label=paste(..eq.label..,..rr.label..,sep = "~~")),size=5)+
tema## Warning: The dot-dot notation (`..eq.label..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(eq.label)` instead.
Para calcular a função geradora da curva e o R2, usa-se a função
stat_regline_equation(aes(label=paste(..eq.label..,..rr.label..,sep = "~~"))),
Criando assim tanto a função geradora dos dados do gráfico,
quanto o R². Esses resultados mostram que há uma mínima
relação nº de carburadores e o nº de milhas/galão, com a variável
independente (eixo X) explicando 30% dos dados
observados na variável dependente (eixo Y), sendo esta uma
relação inversalmente proporcional.
11.7 Alterando a posição da equação derivada e do R²
MC %>%
ggplot(aes(carb, mpg))+
labs(title="relação entre o n° carburadores por nº milhas/galão",
x="n° de carburadores",
y="nº milhas/galão")+
geom_point(color="darkgoldenrod4",fill="yellow",shape=21,size=4)+
geom_smooth(method = "lm", col="red", se=FALSE,formula = "y~x")+
stat_regline_equation(aes(label=paste(..eq.label..,..rr.label..,sep = "~~")),size=5,label.x=5,label.y=32.5)+
tema
Dentro do comando stat_regline_equation(), usando os
comandos internos label.x= e label.y=, é
possível aterar a posição da equação derivada da requessão e do R²,
escolhendo os pontos no eixo X e no eixo Y, respctivamente.
12 Gráfico de boxplot
12.1 Quando usar
O gráfico de boxplot é utilizado quando há variáveis qualitativas,
em que cada um dos objetos da variável qualitativa apresenta um conjunto de dados,
dados esses da variável quantitativa, como em dados de pH em três
trechos específicos de um fragmento de mata ao longo dos 12 meses do
ano. Nesse gráfico, são criados boxplots,
sendo assim, o gráfico de boxplot é um gráfico com uma variável
qualitativa (eixo X) e uma varável quantitativa
(eixo Y). Exemplo: da base de dados starwars,
qual a variação da altura dos personagens em função da cor dos olhos? É
o que será feito agora.
12.2 Packages exigidos
library(tidyverse)12.3 Carregando base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworld12.3.0.0.1 Novamente,
será trabalhado com a base de dados starwars.
12.4 Criando o boxplot
SW %>%
ggplot(aes(skin_color, height))+
labs(title="altura dos persoanagens em relação à cor do olho",
x="cor da pele",
y="altura")+
geom_boxplot(fill="green", color="black")+
tema## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).
Para criar os boxplot, deve ser ecolhida uma variável qualitativa
para o eixo X, como a cor da pele
(skin_color), e uma quantitativa para o eixo
Y, como a altura (height). Para produzir os
boxplots, usa-se a função geom_boxplot(). Porém, são muitos
boxplots, prejudicando o a interpretação dos dados.
12.5 Filtrando os tipos de cores de pele que aparecem
SW %>%
filter(skin_color %in% c("light","dark","green","fair")) %>%
ggplot(aes(skin_color, height))+
labs(title="altura dos persoanagens em relação à cor do olho",
x="cor da pele",
y="altura")+
geom_boxplot(fill="green", color="black")+
tema## Warning: Removed 4 rows containing non-finite values (`stat_boxplot()`).
É possível também selecionar uma cor para cada boxplot. Através do
comando fill=skin_color foi possível colorir os boxplots de
acordo com seus grupos.
12.6 Selecionando um grupo de cores específicas do preenchimento dos boxplots
SW %>%
filter(skin_color %in% c("light","dark","green","fair")) %>%
ggplot(aes(skin_color, height,fill=skin_color))+
labs(title="altura dos persoanagens em relação à cor do olho",
x="cor do olho",
y="altura",
fill="cor da pele")+
geom_boxplot(color="black")+
scale_fill_manual(values = c("#5D5D5D","#E5BB91","green1","cyan"))+
tema## Warning: Removed 4 rows containing non-finite values (`stat_boxplot()`).
Com a função scale_fill_manual() é possível selecionar
uma paleta de cores específicas para os preenchimentos dos boxplots,
facilitando a interpretação de cada boxplot.
12.7 Selecionando um grupo de cores específicas da borda dos boxplots
SW %>%
filter(skin_color %in% c("light","dark","green","fair")) %>%
ggplot(aes(skin_color, height,fill=skin_color,color=skin_color))+
labs(title="altura dos persoanagens em relação à cor do olho",
x="cor do olho",
y="altura",
fill="cor da pele",
color="cor da pele")+
geom_boxplot()+
scale_fill_manual(values = c("#5D5D5D","#E5BB91","green1","cyan"))+
scale_color_manual(values = c("red","yellow","darkgreen","blue"))+
tema## Warning: Removed 4 rows containing non-finite values (`stat_boxplot()`).
Também é possível escolher as cores da borda de cada boxplot. Para
isso, é preciso primeiro especificar à função aes() o
comando color=skin_color, para especificar que as cores das
bordas variam em função da cor de pele dos personagens. Após, é
adicionada a função scale_color_manual(), seguindo os
mesmos passos da função scale_fill_manual(), sendo que
agora o que será selecionado serão as cores das bordas de cada um dos
boxplots. Outro ponto importante é: quando você atribui a
fill= e color= o mesmo título, eles acabam se
tornando a mesma legenda.
13 Adicionado texto ao gráfico
13.1 Quando usar
Em algumas situações específicas, se faz necessário o uso de textos,
com o intúito apontar ou enfatizar informações no gráfico em questão. Um
exemplo é quando linhas são traçadas, como com as funções
geom_hline() e geom_vline(), em que deseja-se
delimitar regiões ou limites dos dados trabalhados, o uso de textos para
explicar e apontar estes limites torna-se um recurso útil. Outro bom
exemplo é no uso de mapas, onde é possível combinar os textos com
labels, criar legendas para as regiões do mapa.
13.2 Packages exigidos
library(tidyverse)Primeiro, foi carregada o package ggplot2, para
conseguir produzir os gráficos ggplot, assim como carregar bases de
dados a seres analisadas. Em seguida, foi carregado o package
tidyverse, para melhor manipular e trabalhar com os dados
utilizados
13.3 Base de dados
resposta<-c(0,0,0.05,0.06,0.1,0.15,0.2,0.37,0.45,0.5,0.68,0.74,0.82,0.95,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0.05,0.09,0.15,0.27,0.39,0.42,0.5,0.62,0.78,0.83,0.91,1,1,1,1,1,1,1,1)
dose<-(rep(c(0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200,210,220,230,240,250,260,270,280,290,300),2))
espécies<-(rep(c("sp1","spe2"),each=31))
dados.toxicidade<-data.frame(resposta,dose,espécies)
dados.toxicidade## resposta dose espécies
## 1 0.00 0 sp1
## 2 0.00 10 sp1
## 3 0.05 20 sp1
## 4 0.06 30 sp1
## 5 0.10 40 sp1
## 6 0.15 50 sp1
## 7 0.20 60 sp1
## 8 0.37 70 sp1
## 9 0.45 80 sp1
## 10 0.50 90 sp1
## 11 0.68 100 sp1
## 12 0.74 110 sp1
## 13 0.82 120 sp1
## 14 0.95 130 sp1
## 15 1.00 140 sp1
## 16 1.00 150 sp1
## 17 1.00 160 sp1
## 18 1.00 170 sp1
## 19 1.00 180 sp1
## 20 1.00 190 sp1
## 21 1.00 200 sp1
## 22 1.00 210 sp1
## 23 1.00 220 sp1
## 24 1.00 230 sp1
## 25 1.00 240 sp1
## 26 1.00 250 sp1
## 27 1.00 260 sp1
## 28 1.00 270 sp1
## 29 1.00 280 sp1
## 30 1.00 290 sp1
## 31 1.00 300 sp1
## 32 0.00 0 spe2
## 33 0.00 10 spe2
## 34 0.00 20 spe2
## 35 0.00 30 spe2
## 36 0.00 40 spe2
## 37 0.00 50 spe2
## 38 0.00 60 spe2
## 39 0.00 70 spe2
## 40 0.00 80 spe2
## 41 0.00 90 spe2
## 42 0.00 100 spe2
## 43 0.00 110 spe2
## 44 0.05 120 spe2
## 45 0.09 130 spe2
## 46 0.15 140 spe2
## 47 0.27 150 spe2
## 48 0.39 160 spe2
## 49 0.42 170 spe2
## 50 0.50 180 spe2
## 51 0.62 190 spe2
## 52 0.78 200 spe2
## 53 0.83 210 spe2
## 54 0.91 220 spe2
## 55 1.00 230 spe2
## 56 1.00 240 spe2
## 57 1.00 250 spe2
## 58 1.00 260 spe2
## 59 1.00 270 spe2
## 60 1.00 280 spe2
## 61 1.00 290 spe2
## 62 1.00 300 spe2Para a construção do gráfico, foi criada uma base de dados de
toxidade de uma substância na água em função da sua toxicidade
(mortalidade) em duas espécies, e atribuído ao objeto
dados.toxicidade. Primeiro, foi criada a variável
resposta, e atribuído a esta os valores de % de mortalidade
de cada espécies às diferentes concentrações da susbtância. Após, foi
criada a variável dose, e atribuindo à esta os valores das
concentrações testadas para cada espécie. Em seguida, foi criada a
variável espécies, e utilizando a função
rep(), foram adicionados as espécies testadas, com 15
repetições para ambas. Por último, foi criado o data frame
dados.toxicidade, através da função
data.frame(), utilizando as variáveis
resposta, dose e espécies.
13.4 Criando o gráfico
dados.toxicidade %>%
ggplot(aes(dose,resposta,color=espécies))+
geom_line(size=2)+
labs(title="respostas das espécies às concentrações da substância",
x="dose (mg/L)",
y="mortalidade (%)",
color="espécies")+
geom_hline(yintercept=0.5,color="red",linetype="dashed",size=1)+
geom_vline(xintercept=90,color="darkgreen",size=1)+
geom_vline(xintercept=180,color="darkred",size=1)+
scale_x_continuous(breaks=seq(0,300,20))+
scale_y_continuous(breaks=seq(0,1,0.1))+
scale_color_manual(values=c("green1","red"),labels=c("espécie 1","espécie 2"))+
tema
Com os dados da base de dados dados.toxicidade, é
possível criar o gráfico. Para se tornar mais didático, será adicionado
textos.
13.5 Adicionando texto ao gráfico
dados.toxicidade %>%
ggplot(aes(dose,resposta,color=espécies))+
geom_line(size=2)+
labs(title="respostas das espécies às concentrações da substância",
x="dose (mg/L)",
y="mortalidade (%)",
color="espécies")+
geom_hline(yintercept=0.5,color="red",linetype="dashed",size=1)+
geom_vline(xintercept=90,color="darkgreen",size=1)+
geom_vline(xintercept=180,color="darkred",size=1)+
scale_x_continuous(breaks=seq(0,300,20))+
scale_y_continuous(breaks=seq(0,1,0.1))+
scale_color_manual(values=c("green1","red"),labels=c("espécie 1","espécie 2"))+
geom_text(aes(x = 29.5, y = 0.55),
label = "50% de mortalidade",
size = 4,
color = "red")+
tema
Usando a função geom_text() é possível adicionar textos
ao gráfico. Dentro da função aes():
x: posição do eixo X onde o texto se encontrará;
y: posição do eixo Y onde o texto se encontrará.
Fora da função aes():
size: tamanho da letra;
color: cor do texto.
Nesse caso, como é de interesse saber saber a marca onde atingiu 50% de mortalidade, não apenas foi traçada uma linha no ponto 0.5 do eixo Y, como foi aí adicionado o texto.
dados.toxicidade %>%
ggplot(aes(dose,resposta,color=espécies))+
geom_line(size=2)+
labs(title="respostas das espécies às concentrações da substância",
x="dose (mg/L)",
y="mortalidade (%)",
color="espécies")+
geom_hline(yintercept=0.5,color="red",linetype="dashed",size=1)+
geom_vline(xintercept=90,color="darkgreen",size=1)+
geom_vline(xintercept=180,color="darkred",size=1)+
scale_x_continuous(breaks=seq(0,300,20))+
scale_y_continuous(breaks=seq(0,1,0.1))+
scale_color_manual(values=c("green1","red"),labels=c("espécie 1","espécie 2"))+
geom_text(aes(x = 29.5, y = 0.55),
label = "50% de mortalidade",
size = 4,
color = "red")+
geom_text(aes(x = 85, y = -0.03),
label = "dose com 50% de letalida",
size = 3.5,
color = "darkgreen")+
geom_text(aes(x = 190, y = -0.03),
label = "dose com 50% de letalida",
size = 3.5,
color = "darkred")+
tema
Além da linha que delimita o ponto de 50% de mortalidade, é possível também marcar o ponto da dose onde causa 50% de letalidade, para ambas as espécies.
14 Salvando o gráfico no dispositivo
14.1 Quando usar
Como muitas vezes aqueles gráficos produzidos irão para algum
destino, como alguma atividade, seminário, artigo, relatório ou tese, é
preiso que aquele gráfico produzido no ggplot seja exportado. Há duas
principais maneiras: manualmente na aba dos plots ou
através da função ggsave().
14.2 Exportando a partir da aba de plots
Na região marcada em vermelho é onde começa a
exportação, onde o gráfico poderá ser enviado para alguma área do
computador do usuário.
Na região marcada em vermelho, há os formatos possíveis
a ser exportados os arquivos, como em imagem,
PDF ou até copiar, como um simples ctrl+C. A
escolha vai do desejo do usuário, mas aqui iremos usar o formato de
imagem, marcado em amarelo.
Na região marcada em vermelho é o formato do arquivo que
será selecionado para exportar a imagem, sendo os formatos disponíveis
para imagem: PNG, JPG, JPEG,
TIFF, BMP, Metafile,
SVG e EPS. A região marcada em
laranja é o diretório, o local do dispositivo onde arquivo
será exportado. A região marcada em amarelo é o nome do
arquivo que será exportado. A região marcada em verde é a
largura da imagem, em azul a altura. A região marcada em
roxo é onde salvar e começar a exportar a imagem, em
rosa cancelar toda a ação. Porém há um jeito mais simples
de salvar o gráfico, a partir da função ggsave(), do
package ggplot.
14.3 Salvando o gráfico com a função ggsave
14.3.1 O que é o ggsave
Como já falado antes, a função ggsave() é uma função do
package ggplot, que salva o último gráfico plotado para um
diretório do dispositivo.
14.3.2 Packages exigidos
library(tidyverse)14.3.3 Carregando base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworldPara fins práticos, será feito com o último gráfico boxplot feito.
14.3.4 Salvando
SW %>%
filter(skin_color %in% c("light","dark","green","fair")) %>%
ggplot(aes(skin_color, height,fill=skin_color))+
geom_boxplot(color="black")+
labs(title = "Altura dos personagens em função da cor de pele",
x="Cor de pele",
y="Altura (cm)",
fill="cor de pele")+
scale_fill_manual(values = c("#5D5D5D","#E5BB91","green1","cyan"))+
tema## Warning: Removed 4 rows containing non-finite values (`stat_boxplot()`).
ggsave(filename = "G:/Meu Drive/R/Gráfico_Export.png")## Warning: Removed 4 rows containing non-finite values (`stat_boxplot()`).Com a função
filename = "G:/Meu Drive/R/Gráfico_Export.png", é informado
dois elementos: 1) o diretório onde o gráfico será exportado
(G:/Meu Drive/R/); 2) o nome do arquivo, com o seu formato
(Gráfico_Export.png).
14.3.5 Vendo que o gráfico foi exportado para o dispositivo
Como feito no ggsave, o gráfico foi exportado para o diretório selecionado.
14.3.6 Vendo o gráfico então exportado
Como visto, o gráfico foi exportado com sucesso. Também é preciso
saber que o ggsave() exporta o
último gráfico plotado, independente se a linha de código
do ggsave() está abaixo das linhas do ggplot que se deseja
exportar. Por isso, antes de exportar seu gráfico,
certifique-se que o seu gráfico escolhido foi plotado.
15 Gráficos interativos
Tudo que foi mostrado aqui são gráficos parados, sem nenhum tipo de
interação com quem o está fazendo ou o lendo. Porém,
há um jeito de tornar os gráficos criados no R interativos, como se fossem um dashboard
15.1 Packages exigidos
library(tidyverse)
library(plotly)
library(htmlwidgets)Porém, dessa vez, além de dos pacotes básicos já usados, serão também
utilizados mais dois novos. O package plotly é usado para
criar os gráficos interativos, como um dashboard. Já o
package htmlwidgets para salvar os gráficos, com eles
continuando por serem interativos.
15.2 Carregando base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworldPara esse exemplo, continuará sendo usado a base de dados
Starwars.
15.3 Criando o gráfico
Gráfico<-SW %>%
filter(mass<1000) %>%
ggplot(aes(height,mass,fill=eye_color))+
labs(title="relação entre a altura e a massa dos personagens",
x="altura",
y="massa",
color="cor do olho")+
geom_point(color="black",shape=21,size=4)+
scale_color_manual(values=c("black","blue","#597DAB","#875E1E","#B2FF00","#FFB727","orange","red","#A9A9A9","white","yellow"))+
tema
Gráfico
Para o exemplo que será feito com um gráfico interativo, será
utilizado um gráfico de pontos. Para ser mais interessante e prático de
ser feito com ele, foram feitas duas alterações, em relação ao gráfico
de dsipersão, feito anteriormente no começo desse guia: 1) o gráfico é
feito avaliando à massa em relação à altura dos personagaens da franquia
Star Wars, mas agora os pontos foram coloridos e diferenciados em função
da cor do olho dos personagens; 2) para ser prático, todo o
script do ggplot foi atribuído ao objeto Gráfico, e então
usado no função ggplotly().
15.4 Tornando o gráfico interativo
Inter.Graf<-ggplotly(Gráfico)
Inter.GrafPara poder salvar o gráfico com o formato interativo posteriormente,
foi atribuido ao objeto Inter.Graf. À primeira vista, pode
parecer não haver mudado nada, mas ao passar o mouse pelo gráfico, ou
clicando em zoom, as diferenças parecem, como neste gráfico
acima deste texto mesmo, ou através dp exemplo da imagem abaixo. Como é
possível ver, ao passar o mouse por cima dos pontos, é possivel ver os
dados do ponto, como a sua altura, a massa e a cor. Na segunda imagem, é
possível ver a barra de ferramentas na posição superior Direita. Da
esquerda para a direita, respectivamente:
*download do gráfico como png;
*zoom, puxando e arrastando, para dar zoom em uma área
específica do gráfico;
movimentar e arrastar o gráfico;selecionar pontos específicos com contorno em caixa;selecionar pontos específicos com contorno livre;zoom in, para se “aprofundar” no gráfico;
*zoom out, para se “distanciar” no gráfico;
autoescala;resetar área selecionada;mostar os dados de cada ponto por vezemostrar todos os dados dos pontos selecionados.
15.5 Salvando como gráfico interativo
saveWidget(Inter.Graf,file ="G:/Meu Drive/R/Gráfico.html")Com a função saveWidget(), do pacote
htmlwidget, é possível salvar o gráfico, preservando ele na
sua forma interativa. Para isso, é especificado o gráfico, que estava no
objeto Inter.Graf, e o local do dispositivo onde o gráfico
será salvo (file ="G:/Meu Drive/R/") e o nome do arquivo,
no formato html (Gráfico.html).
Como é possível observar, o arquivo foi salvo no formato html e no
local informado. É importante verificar se o arquivo está programado
para ser aberto com o seu navegador, que neste caso aqui, é o
Microsft Edge. Caso não, procure alterar nas configuras, em
propriedades, do arquivo.
E como pode ser visto, o arquivo foi aberto no Mirosoft Edge, preservando sua capacidade de ser interativo.
16 Personalizando os temas do ggplot
16.1 O que são os temas do ggplot
Quando criamos um ggplot, ele automaticamente lhe cria um aparência
para o plano de fundo, as grades, os nomes dos eixos, valores dos eixos,
aparência do título, etc. Isso é o que se chama de tema.
Esses temas são feitos através da função theme() e suas
variações, como:
theme();
theme_bw();
theme_classic();
theme_dark();
theme_get();
theme_gray();
theme_grey();
theme_light();
theme_linedraw();
theme_minimal();
theme_replace();
theme_set();
theme_test();
theme_update();
theme_void()
Algumas vezes, o tema padrão que o ggplot pode não influenciar na legidibilidade do gráficco, e em outras pode até ajudar. Contudo, há situações que os temas precisam ser alterados, por simples motivos estéticos, ou pelo tema padrão atrapalhar a legidibilidade ou até uma exigência de quem irá avaliar o trabalho. Como é possível personalizar os temas, é uma importante ferramenta para alterar os temas.
16.2 Criando um gráfico para ser modelo da personalização de temas
Antes de começar a personalizar, é importante lembrar que não
existem, necessariamente, temas melhores ou
temas piores. Existem sim temas mais adequados para
diversos fins e necessidades, mas com as possibilidades que serão
expostas aqui, existem mais
5.500 possibilidades de temas personalizados. Por isso,
lembre-se que cada caso é um caso, e não encare um único tema como um
“salvador universal”.
16.2.1 Package exigidos
library(tidyverse)
library(grDevices)Para começar a criar um gráfico a ser usado para os exemplos, são
carregados os packages ggplot2, para criar os gráficos em
ggplot, e tidyverse, mas conseguir trabalhar melhor com os
dados. Em seguida, foi carregado o package grDevices, para
manipular as fontes de texto dos gráficos.
16.2.2 Criando um gráfico exemplo
Ecs<-economics
Ecs## # A tibble: 574 × 6
## date pce pop psavert uempmed unemploy
## <date> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1967-07-01 507. 198712 12.6 4.5 2944
## 2 1967-08-01 510. 198911 12.6 4.7 2945
## 3 1967-09-01 516. 199113 11.9 4.6 2958
## 4 1967-10-01 512. 199311 12.9 4.9 3143
## 5 1967-11-01 517. 199498 12.8 4.7 3066
## 6 1967-12-01 525. 199657 11.8 4.8 3018
## 7 1968-01-01 531. 199808 11.7 5.1 2878
## 8 1968-02-01 534. 199920 12.3 4.5 3001
## 9 1968-03-01 544. 200056 11.7 4.1 2877
## 10 1968-04-01 544 200208 12.3 4.6 2709
## # … with 564 more rowsPara começar, foi carregado a base de dados Economics, e
atribuída ao objeto Ecs. Essa base de dados é do package
ggplot, que apresenta dados de séries econômicas da história dos Estados
Unidos. Ela será usada para construir o gráfico ggplot que será testado
as funções de personalização de tema.
exemplo<-Ecs%>%
ggplot(aes(date,unemploy,color=pop))+
geom_line(size=1.1)+
labs(title="Nº de desempregados nos Estados Unidos",
subtitle=" entre 01/07/1967-01/04/2015",
x="Data",
y="Desemprego",
color="tamanho populacional",
caption="dados: Economics")+
scale_color_gradientn(colours =c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"),breaks=seq(0,325000,20000))
exemplo
Criado o gráfico, é possível criar os temas personalizados.
16.3 Personalizando
16.3.1 Elemento
element_text()
Esse elemento de texto do gráffico, como títulos e legendas. É
possível alterar tamanho, forma e cor. Os elementos devem sempre ser
seguidos de element_text(). Dentre os diversos elementos de
texto, estão:
text=: personaliza todo e qualquer texto do gráfico, sendo tílos ou elementos da legenda;
exemplo+
theme( text = element_text(color="red"))
axis.text=: personaliza todo e qualquer texto os eixos do gráfico;
exemplo+
theme( axis.text = element_text(color="red"))
axis.text.x=: personaliza o texto do eixo X do gráfico;
exemplo+
theme( axis.text.x = element_text(color="red"))
axis.text.y=: personaliza o texto do eixo Y do gráfico;
exemplo+
theme( axis.text.y = element_text(color="red"))
legend.text=: personaliza o texto da legenda do gráfico;
exemplo+
theme( legend.text = element_text(color="red"))
title=: personaliza apenas os títulos do gráfico;
exemplo+
theme( title = element_text(color="red"))
legend.title=: personaliza o título da legenda;
exemplo+
theme( legend.title = element_text(color="red"))
plot.title=: personaliza o título do gráfico:
exemplo+
theme( plot.title = element_text(color="red"))
plot.subtitle=: personaliza o subtítulo do gráfico:
exemplo+
theme( plot.subtitle = element_text(color="red"))
plot.caption=: personaliza a nota de roda-pé do gráfico:
exemplo+
theme( plot.caption = element_text(color="red"))
plot.tag=: personaliza a marcação do gráfico:
exemplo2<-Ecs%>%
ggplot(aes(date,unemploy,color=pop))+
geom_line(size=1.1)+
labs(title="Nº de desempregados nos Estados Unidos",
subtitle=" entre 01/07/1967-01/04/2015",
tag="o tamanho populacional só cresceu",
x="Data",
y="Desemprego",
color="tamanho populacional",
caption="dados: Economics")+
scale_color_gradientn(colours =c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"),breaks=seq(0,325000,20000))
exemplo2+
theme( plot.tag = element_text(color="red"))
axis.title=:personaliza os títulos dos eixos X e Y;
exemplo+
theme( axis.title = element_text(color="red"))
axis.title.x=: personaliza apenas o título do eixo X;
exemplo+
theme( axis.title.x = element_text(color="red"))
axis.title.y=: personaliza apenas o título do eixo Y.
exemplo+
theme( axis.title.y = element_text(color="red"))
Personalizando a fonte:
windowsFonts(TimesNewRoman=windowsFont("Times New Roman"),
WideLatin=windowsFont("Wide Latin"),
Mistral=windowsFont("Mistral"))
exemplo+
theme(text=element_text(family = "TimesNewRoman"))
exemplo+
theme(text=element_text(family = "WideLatin"))
exemplo+
theme(text=element_text(family = "Mistral"))
Naturalmente, é o ggplot criar seus plots com textos na fonte Arial,
mas também é possível alterar a fonte dos textos do plot. Para isso, é
usado a função Windownsfonts(), do package
grDevices, especificando uma fonte salva no sistema do
dispositivo, e atribuindo a um objeto. Após feito, basta apenas usar o
comando family= para o objeto criado, dentro do comando
text=element_text().
16.3.2 Elemento
element_line()
Esse elemento de linhas do gráfico, como as linhas dos eixos e as
grades. É possível alterar tamanho, forma e cor. Os elementos devem
sempre ser seguidos de element_line(). Dentre os diversos
elementos de texto, estão:
axis.line=: personaliza as linhas dos eixos X e Y;
exemplo+
theme( axis.line = element_line(color="red"))
axis.line.x=: personaliza apenas a linha do eixo X;
exemplo+
theme( axis.line.x = element_line(color="red"))
axis.line.y=: personaliza apenas a linha do eixo Y;
exemplo+
theme( axis.line.y = element_line(color="red"))
axis.ticks=: personaliza as marcas dos valores dos eixos;
exemplo+
theme( axis.ticks = element_line(color="red"))
axis.ticks.x=: personaliza as marcas dos valores do eixo X;
exemplo+
theme( axis.ticks.x = element_line(color="red"))
axis.ticks.y=: personaliza as marcas dos valores do eixo Y;
exemplo+
theme( axis.ticks.y = element_line(color="red"))
panel.grid=: personaliza as linhas de grade;
exemplo+
theme( panel.grid = element_line(color="red"))
panel.grid,major=: personaliza as linhas de grade superiores;
exemplo+
theme( panel.grid.major = element_line(color="red"))
panel.grid,major.x=: personaliza as linhas de grade superiores do eixo X;
exemplo+
theme( panel.grid.major.x = element_line(color="red"))
panel.grid.major.y=: personaliza as linhas de grade superiores do eixo Y;
exemplo+
theme( panel.grid.major.y = element_line(color="red"))
panel.grid.minor=: personaliza as linhas de grade inferiores;
exemplo+
theme( panel.grid.minor = element_line(color="red"))
panel.grid.minor.x=: personaliza as linhas de grade inferiores do eixo X;
exemplo+
theme( panel.grid.minor.x = element_line(color="red"))
panel.grid.minor.y=: personaliza as linhas de grade inferiores do eixo Y;
exemplo+
theme( panel.grid.minor.y = element_line(color="red"))
16.3.3 Elemento
element_rect()
Esse elemento do retângulo do controno do gráfico. É possível alterar
tamanho, forma e cor. Os elementos devem sempre ser seguidos de
element_rect(). Dentre os diversos elementos de texto,
estão:
legend.background=: personaliza o retângulo que forma-se em volta da legenda. Usando a funçãofill=, escolhendo uma cor, é possível colorir o preenchimento do retângulo;
exemplo+
theme( legend.background = element_rect(color="red",fill="green"))
legend.key=: personaliza o retângulo que forma-se em volta de cada elemento da legenda. Nesse caso, foi usado um outro gráfico, usando a base de dadUsando a funçãofill=, escolhendo uma cor, é possível colorir o preenchimento do retângulo;
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworldexemplo3<-SW%>%
ggplot(aes(height,mass,color=eye_color))+
geom_line(size=1)+
labs(title="Relação altura em relação à massa dos personagens da franquia de Star Wars",
x="Altura",
y="Massa",
color="cor do olho")
exemplo3+
theme( legend.key = element_rect(color="red",fill="green"))## Warning: Removed 12 rows containing missing values (`geom_line()`).
legend.box.background=: personaliza o semi-retângulo que forma-se em volta de cada elemento da legenda;
exemplo+
theme( legend.box.background = element_rect(color="red"))
panel.background=: personaliza o retângulo que forma-se em volta do gráfico. Com a funçãofill=, é possível colorir o interior do gráfico;
exemplo+
theme( panel.background = element_rect(color="red",fill="green"))
plot.background=: personaliza o retângulo que forma-se em volta dde todo o plot. Com a funçãofill=, é possível colorir o interior do gráfico;
exemplo+
theme( plot.background = element_rect(color="red",fill="green",size=1.5))
16.3.4 Elemento
element_blank()
Esse elemento elimina os demais elementos do gráfico, apagando-os. Os
elementos, como text=, line= ou
react devem sempre ser seguidos de
element_blank(). Dentre os diversos elementos de texto,
estão:
text=: apaga todos os elementos de texto do gráfico;
exemplo+
theme( title = element_blank())
elementos específicos do texto: é possível também apagar um elemento de texto em específico, como o título da legenda, o título do eixo X ou os valores dos eixos, com os comandos para estes mesmos elementos específicos, ensinados antiormente
exemplo+
theme( legend.title = element_blank())
exemplo+
theme( axis.title.x = element_blank())
exemplo+
theme( axis.text = element_blank())
line=: apaga todos os elementos de linha gráfico;
exemplo+
theme( line = element_blank())
elementos específicos de linha: é possível também apagar um elemento de texto em específico, como as linhas dos valores do eixo X, as linhas dos valores do eixo Y ou as linha dos valores superiores dos eixos, com os comandos para estes mesmos elementos específicos, ensinados antiormente
exemplo+
theme( axis.ticks.x = element_blank())
exemplo+
theme( axis.ticks.y = element_blank())
exemplo+
theme( panel.grid.major = element_blank())
react=: apaga todos os retângulos;
exemplo3+
theme( legend.key = element_blank())## Warning: Removed 12 rows containing missing values (`geom_line()`).
16.4 Criando um tema
Em muitas situações, é preciso reutilizar aquele mesmo tema, com
aquele mesmo estilo para gráficos com finalidades semelhantes. Para
evitar ter que escrever tudo de novo, é possível atribuir a configuração
de uma tema a um objeto. Porém, antes de criar um novo e tema e atribuir
à qualquer gráfico, certifique-se que
o gráfico é compatível com as configurações do tema criado,
a fim de evitar problemas de plotar.
16.4.1 Criando um objeto com a nova configuração do tema
theme.new<-theme( text = element_text(color="black",size=12),axis.text=element_text(color="black"),legend.title = element_text(color="black"),panel.grid=element_line(color="gray"),axis.line=element_line(color="black"),panel.background=element_rect(fill="white"),legend.background = element_rect(fill="white"),plot.background=element_rect(fill="#7494a5"))Tendo criado agora o tema, é possível configurar o gráfico modelo com este tema.
16.4.2 Transformando o gráfico com o tema criado
exemplo+
theme.new
Adicionando ao ggplot o objeto theme.line, é possível
agora configurar o gráfico com o tema criado.
17 Plotando mais de um gráfico ao mesmo tempo
17.1 Quando usar
Há siruações em que diferentes análises semelhantes são feitas. Exemplo é testando o crescimento populacional de 4 espécies num mesmo espaço de tempo. Para facilitar a interpretação e análise nestas situações, uma solução útil é pôr os gráficos todos juntos no mesmo campo de visão. Para isso, os gráficos são plotados de uma única vez.
17.2 Packages exigidos
library(tidyverse)
library(cowplot)Foi carregado o package ggplot2 para criar os gráficos,
assim como para carregar as bases de dados que serão utilizadas. Em
seguida, foi carregado o package tidyverse, para melhor
trabalahr com os dados que serão utilizados. Por último, foi carregado o
package cowplot, para poder ser plotado vários gráficos de
uma vez.
17.3 Carregando a base de dados
SW<-starwars
SW## # A tibble: 87 × 14
## name height mass hair_…¹ skin_…² eye_c…³ birth…⁴ sex gender homew…⁵
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 Luke Skywa… 172 77 blond fair blue 19 male mascu… Tatooi…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu… Tatooi…
## 3 R2-D2 96 32 <NA> white,… red 33 none mascu… Naboo
## 4 Darth Vader 202 136 none white yellow 41.9 male mascu… Tatooi…
## 5 Leia Organa 150 49 brown light brown 19 fema… femin… Aldera…
## 6 Owen Lars 178 120 brown,… light blue 52 male mascu… Tatooi…
## 7 Beru White… 165 75 brown light blue 47 fema… femin… Tatooi…
## 8 R5-D4 97 32 <NA> white,… red NA none mascu… Tatooi…
## 9 Biggs Dark… 183 84 black light brown 24 male mascu… Tatooi…
## 10 Obi-Wan Ke… 182 77 auburn… fair blue-g… 57 male mascu… Stewjon
## # … with 77 more rows, 4 more variables: species <chr>, films <list>,
## # vehicles <list>, starships <list>, and abbreviated variable names
## # ¹hair_color, ²skin_color, ³eye_color, ⁴birth_year, ⁵homeworldPara a criação dos dados, foi carregada abase dados
starwars, do package ggplot2, que possui dados
de alguns personagens da franquia Star Wars, e então atribuído ao objeto
SW.
17.4 Criando os gráficos
G1<-SW %>%
ggplot(aes(sex,height,fill=sex))+
geom_boxplot(color="black")+
labs(title = "altura dos personagens em função do sexo",
x="sexo",
y="altura",
fill="sexo")+
tema
G1## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).
G2<-SW %>%
ggplot(aes(gender,height,fill=gender))+
geom_boxplot(color="black")+
labs(title = "altura dos personagens em função do gênero",
x="gênero",
y="altura",
fill="gênero")+
tema
G2## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).
G3<-SW %>%
ggplot(aes(hair_color,height,fill=hair_color))+
geom_boxplot(color="black")+
labs(title = "altura dos personagens em função da cor de cabelo",
x="cor de cabelo",
y="altura",
fill="cor do cabelo")+
tema
G3## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).
Foram criados três gráficos, a aprtir da base de dado
SW, e atribuídos aos objetos
G1,G2 e G3. Para poder plotar
todos os gráficos juntos de uma vez, é preciso atribuir os gráficos à
objetos.
17.5 Plotando os gráficos juntos de uma vez
plot_grid(G1,G2,G3)## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family
## 'TimesNewRoman' not found in PostScript font database## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
Através da função plot_grid() é possível plotar os 3
gráficos de uma vez, inserior os objetos dos gráficos, na ordem que
deseja aparecerem.
17.6 Configurando
17.6.1 Nº de colunas
plot_grid(G1,G2,G3,ncol=1)## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
Através do elemento ncol= é possível escolher o Nº de
colunas. Se ncol=1, todos os gráficos ficarão em linhas
diferentes, em que a quantidade de linhas será a quantidade de
gráficos.
17.6.2 Nº de linhas
plot_grid(G1,G2,G3,nrow=1)## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family 'TimesNewRoman' not found in PostScript font database
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Através do elemento nrows= é possível escolher o Nº de
linhas. Se nrows=1, todos os gráficos ficarão em colunas
diferentes, em que a quantidade de colunas será a quantidade de
gráficos.
17.7 Utilizando
facet_wrap()
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`)+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
A função facet_wrap() é do package ggplot2,
e cria um plot dividido baseado em algum critério, alguma variável, da
base de dados que está sendo utilizada na construção do ggplot. A grande
vantagem do uso do facet_wrap() em relação ao
cowplot() é que o facet_wrap() não depende que
sejam criados objetos contendo os ggplots, mas sim que o critério de
divisão esteja em alguma variável da base de dados. A única possível
desvantagem do uso do facet_wrap() é que caso não exista a
variável na base de dados, não será possível criar o gráfico
particionado. Contudo, isso pode ser contornado com uma simples
manipulação de dados: como existe uma qantidade muito grande de espécies
na bse de dados SW, foi utilizada a função
mutate(), para criar uma nova variável, em conjunto com a
função case_when(), para criar uma seleção condicional,
criando uma nova variável É Humano?, onde os personagens da
espécie humana estariam como Humano e as outras espécies
como Não-Humano ou NA.
17.7.1 Escolhendo o Nº de linhas e de colunas
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`,ncol=2)+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`,nrow=3)+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
Assim como no cowplot(), também é possível selecionar o
nº de linhas e colunas desejadas no plot.
17.7.2 Alterando as escalas
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`,scale="free")+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`,scale="free_x")+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`,scale="free_y")+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
O padrão do facet_wrap() é de deixar uma escala
padronizada para os dois eixos. Contudo, é possível observar nos ultimos
plots que há espaços do gráfico sem a ocorrência de pontos. Isso
acontece porque a padronização não leva em conta as diferenças nas
escalas das distribuiçõe para os diferentes elementos da variável que
divide os plots. É possível controlar essa escala com:
scale="free": para que as escalas de ambos os eixos estejam ajustadas para cada distribuição em particular;scale="free_x": para que a escala dos eixos X estejam ajustadas para cada distribuição em particular;scale="free_y": para que a escala dos eixos Y estejam ajustadas para cada distribuição em particular;
17.7.3 Usando mais de uma variável por vez
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`+gender)+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
Também é possível combinar variáveis, fazendo assim análises combinatória com diferentes variáveis.
17.7.4 Alterando a cor da
caixa do facet_wrap()
tema_facet<-theme(text=element_text(family="TimesNewRoman"),
title=element_text(color="black",size=15),
axis.text = element_text(color="black",size=10),
axis.title = element_text(color="black",size=10),
panel.grid=element_line(color="grey75",linetype = "dashed",size=.5),
axis.line=element_blank(),
plot.background=element_rect(fill="white",color="white"),
panel.background=element_rect(fill="white"),
panel.border = element_rect(colour = "black", fill = NA,size=0.59),
legend.key= element_rect(color="white",fill="white"),
strip.background = element_rect(colour="black",fill="#4B8899"))
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_wrap(~`É humano?`)+
tema_facet## Warning: Removed 28 rows containing missing values (`geom_point()`).
Outra coisa que é possível de ser feita com o
facet_wrap() é mudando a cor de prrenchimento e contorno
das caixas. Para isso, é utilizado o comando
strip.background=element_rect() na função
theme().
17.8 Utilizando facet_grid()
SW %>%
mutate(`É humano?`=case_when(species=="Human"~"Humano",
species!="Human"~"Não-Humano",
species==NA~"Sem Identificação")) %>%
ggplot(aes(mass,height,fill=`É humano?`))+
geom_point(shape=21,color="black",size=4)+
labs(x="Massa",
y="Altura")+
facet_grid(gender~`É humano?`)+
tema## Warning: Removed 28 rows containing missing values (`geom_point()`).
Enquanto que o facet_wrap() dividia baseado apenas em
colunas, usando uma única variável ou um conjunto de variáveis, o
facet_grid() também cria uma vombinação, mas baseado em
formato de grade. Todas as propriedades anteriormente feitas no
facet_wrap() são aplicáveis ao
facet_grid().
18 Adicionando imagens ao ggplot
18.1 Quando utilizar
Em algumas situações, para melhor exemplificar aspectos de uma análise, ou apenas deixá-la mais didática, é muito utilizado a adição de imagens ao gráfico. Adição de imagens pode ser muito útil, como quando se deseja representar uma espécie, ou até apresentar as bandeiras de estados ou países.
18.2 Pacakges exigidos
library(tidyverse)
library(ggimage)Foi carregado o package ggplot2 para criar os gráficos.
Em seguida, foi carregado o package tidyverse, para melhor
trabalahr com os dados que serão utilizados. Por último, foi carregado o
package ggimage, para poder adicionar imagens ao gráfico
ggplot
18.3 Criando os dados
n.spe1<-c(18,15,14,12,9,7,5)
n.spe1## [1] 18 15 14 12 9 7 5n.spe2<-c(18,16,13,11,10,4,3)
n.spe2## [1] 18 16 13 11 10 4 3red.hab1<-c(0.0,0.05,0.1,0.15,0.2,0.25,0.3)
red.hab1## [1] 0.00 0.05 0.10 0.15 0.20 0.25 0.30red.hab2<-c(0.0,0.05,0.1,0.15,0.2,0.25,0.3)
red.hab2## [1] 0.00 0.05 0.10 0.15 0.20 0.25 0.30Primeiro, foram criados os objetos n.spe1 e
n.spe2, que descrevem o nº de indivíduos de duas espécies
de serpentes do gênero Crotalus sp.. Após, foram criados os
objetos red.hab1 e red.hab2, que descrevem as
porcentagens de redução de habitat em que as espécies foram
coletadas.
crotalus1<-data.frame(n.spe1,red.hab1)
crotalus1## n.spe1 red.hab1
## 1 18 0.00
## 2 15 0.05
## 3 14 0.10
## 4 12 0.15
## 5 9 0.20
## 6 7 0.25
## 7 5 0.30crotalus2<-data.frame(n.spe2,red.hab2)
crotalus2## n.spe2 red.hab2
## 1 18 0.00
## 2 16 0.05
## 3 13 0.10
## 4 11 0.15
## 5 10 0.20
## 6 4 0.25
## 7 3 0.30Após terem sido criadas as variáveis referentes à cada espécie, foram
criados os data frames para a base de dados de cada espécie, através da
função data.frame(), e atribuídos aos objetos
crotalus1 e crotalus2.
g1<-crotalus1 %>%
ggplot()+
geom_line(aes(red.hab1,n.spe1),color="black",size=1)+
geom_point(aes(red.hab1,n.spe1),color="black",fill="yellow",shape=21,size=4)+
scale_x_continuous(breaks=seq(0.0,0.30,0.05))+
scale_y_continuous(breaks=seq(0,18,2))+
labs(title=" ",
x="% da redução de habitat",
y="nº de indivíduos coletados")+
tema+
geom_image(aes(x=0.20,y=17,image = "crotalus1.png"),size=0.4)
g1
g2<-crotalus2 %>%
ggplot()+
geom_line(aes(red.hab2,n.spe2),color="black",size=1)+
geom_point(aes(red.hab2,n.spe2),color="black",fill="yellow",shape=21,size=4)+
scale_x_continuous(breaks=seq(0.0,0.30,0.05))+
scale_y_continuous(breaks=seq(0,18,2))+
labs(title=" ",
x="% da redução de habitat",
y="nº de indivíduos coletados")+
tema+
geom_image(aes(x=0.20,y=17,image = "crotalus2.png"),size=0.4)
g2
Após definido o diretório, são feitos os gráficos. Nesse caso, a
especificação dos eixos, no comando aes(), não é feita no
elemento ggplot(), mas sim no elemento
geom_line() e no geom_point(), para que o
comando consiga adicionar a imagem. Ou seja: a especificação dos eixos
deve ocorrer nos mesmos locais que se define o tipo de gráfico a ser
feito, na ondem de sobreposição em que se deseja fazer (nesse caso,
pontos por cima das linhas. Para asdicionar a imagem, é usada a função
geom_image(), do package ggimage, onde dentro
do comando aes() da função é especificado:
x: posição da imagem pelo eixo X;
y: posição da imagem pelo eixo Y;
image: imagem a ser carregada, com “nome o arquivo.formato do arquivo”.
Fora do comando aes(), é especificado o tamanho da
imagem, pelo argumento size=, onde é aconselhável que o
tamanho da imagem esteja entre 0 e 1.
18.4 plotando os dois gráficos de uma vez
Nestas situações, é muito útil ter os dois gráficos no campo de visão
para serem comparados, como feito no tópico anterior do guia. Para isso,
usa-se a função plot_grid()
library(cowplot)
plot_grid(g1,g2)
Carregando o package cowplot, e usando a sua função
plot_grid(), é possível plot de uma única vez os dois
plots.
19 Cluster nos gráficos
19.1 Quando utilizar
Em gráficos de dispersão, por exemplo, é comum usar oo comando
aes(color=variável), ou alternativamente
aes(fill=variável), para diferenciar os pontos em relação à
variáveis qualitativas no gráfico, como espécies, locais e comunidades
diferentes, e vizualizar de formas melhores como aqueles diferenntes
dados estão dispersos nos dados. Uma forma de facilitar essa
vizualização é delimitar círculos ou elípses que representem os
diferentes tipos de dados, criando clusters.
19.2 Packages exigidos
library(ggforce)
library(tidyverse)
library(palmerpenguins)Foi carregado o package ggforce, que é utilizado para
criar estes clusters. Em seguida, foi carregado o package
tidyverse, que carrega tanto o package ggplot2
quanto outros utilizados para trabalhar com os dados. Por último, foi
carregado o package palmerpenguins, para utilizar dados
morfométricos sobre pinguins.
19.3 Carregando os dados
pinguins<-penguins %>%
drop_na()
pinguins## # A tibble: 333 × 8
## species island bill_length_mm bill_depth_mm flipper_…¹ body_…² sex year
## <fct> <fct> <dbl> <dbl> <int> <int> <fct> <int>
## 1 Adelie Torgersen 39.1 18.7 181 3750 male 2007
## 2 Adelie Torgersen 39.5 17.4 186 3800 fema… 2007
## 3 Adelie Torgersen 40.3 18 195 3250 fema… 2007
## 4 Adelie Torgersen 36.7 19.3 193 3450 fema… 2007
## 5 Adelie Torgersen 39.3 20.6 190 3650 male 2007
## 6 Adelie Torgersen 38.9 17.8 181 3625 fema… 2007
## 7 Adelie Torgersen 39.2 19.6 195 4675 male 2007
## 8 Adelie Torgersen 41.1 17.6 182 3200 fema… 2007
## 9 Adelie Torgersen 38.6 21.2 191 3800 male 2007
## 10 Adelie Torgersen 34.6 21.1 198 4400 male 2007
## # … with 323 more rows, and abbreviated variable names ¹flipper_length_mm,
## # ²body_mass_gUsando a própia base de dados peguins, do package
palmerpeguins, atribuimos ela ao objeto
pinguins. Explorando esta base de dados, podemos ver as
seguintes variáveis:
species: as três espécies de pinguins estudadas (Adélie, Chinstrap e Gentoo);island: as três ilhas estudadas (Biscoe, Dream ou Torgersen);bill_length_mm: o número do comprimento do bico em mm;bill_depth_mm: o número da profundidade do bico em mm;flipper_length_mm: o número inteiro do comprimento da asa/nadadeira em mm;body_mass_g: massa corporal em g;sex: sexo dos pinguins;year: os anos do estudo (2007, 2008 e 2009).
19.4 Criango o plot
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm))+
geom_point(size=4)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="Espécies mais pesadas possuem maiores bicos?",
x="massa corporal (g)",
y="comprimento do bico (mm)")+
scale_x_continuous(breaks = seq(2500,7000,500))+
tema
Conseguimos ter uma noção de inferência básica de que espécimes mais pesados possuem maiores comprimento de bico. Mas como isso reflete-se nas espécies?
19.5 Discrimando os pontos por cores
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm,fill=species))+
geom_point(size=4,shape=21,color="black",alpha=0.65)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="O padrão observado anteriormente tem influência da espécie?",
x="massa corporal (g)",
y="comprimento do bico (mm)",
fill="Espécies")+
scale_x_continuous(breaks = seq(2500,7000,500))+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Dsicriminando os pontos em relação às espécies, é possível observar que existe sim uma inflência das espécies em relação aos dados observados. Agora, vamos delimitar os grupos utilizando clusters.
19.6 Criando os clusters
19.6.1 Círculos
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm,fill=species))+
geom_point(size=4,shape=21,color="black",alpha=0.65)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="O padrão observado anteriormente tem influência da espécie?",
x="massa corporal (g)",
y="comprimento do bico (mm)",
fill="Espécies",
color="Espécies")+
scale_x_continuous(breaks = seq(2500,7000,500))+
geom_mark_circle(aes(color=species))+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema## Warning: Using the `size` aesthetic in this geom was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` in the `default_aes` field and elsewhere instead.
Com a função geom_mark_circle(), é possível criar
círculos que delimitam os dados discriminados no comando
aes(). Contudo, os cícrlos criam área que cobrem quase toda
a área dos dados, e não dão muita noção de dispersão dos dados. Vamos
tentar de outra forma
19.6.2 Elípses
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm,fill=species))+
geom_point(size=4,shape=21,color="black",alpha=0.65)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="O padrão observado anteriormente tem influência da espécie?",
x="massa corporal (g)",
y="comprimento do bico (mm)",
fill="Espécies",
color="Espécies")+
scale_x_continuous(breaks = seq(2500,7000,500))+
geom_mark_ellipse(aes(color=species))+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Com a função geom_mark_ellipse(), ao contrário de criar
um círculo perfeito, este cria uma elípse, baseado na distribuição dos
dados, não opucando tanto espaço, e dando melhor noção de distribuição.
Aqui podemos observar que os dados tendem a se distribuir mais pela
massa do que pelo comprimento do bico.
19.6.3 Quadrados
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm,fill=species))+
geom_point(size=4,shape=21,color="black",alpha=0.65)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="O padrão observado anteriormente tem influência da espécie?",
x="massa corporal (g)",
y="comprimento do bico (mm)",
fill="Espécies",
color="Espécies")+
scale_x_continuous(breaks = seq(2500,7000,500))+
geom_mark_rect(aes(color=species))+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
É um funcionamento semelhante ao cluster em círculos, mas com polígonos.
19.6.4 Forma não definida
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm,fill=species))+
geom_point(size=4,shape=21,color="black",alpha=0.65)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="O padrão observado anteriormente tem influência da espécie?",
x="massa corporal (g)",
y="comprimento do bico (mm)",
fill="Espécies",
color="Espécies")+
scale_x_continuous(breaks = seq(2500,7000,500))+
geom_mark_hull(aes(color=species))+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Este é o “menos elegante” de todos. Aqui não é criada uma forma geométrica específica, mas baseada na distribuição dos dados.
19.7 Utilizando polígonos
clusterpolígonos<-pinguins %>%
group_by(species) %>%
slice(chull(body_mass_g,bill_length_mm))
pinguins %>%
ggplot(aes(body_mass_g,bill_length_mm,fill=species,color=species))+
geom_point(size=4,shape=21,color="black",alpha=0.65)+
geom_polygon(data=clusterpolígonos,alpha=0.35)+
labs(title="Relação entre o tamanho do bico e a massa corporal",
subtitle="O padrão observado anteriormente tem influência da espécie?",
x="massa corporal (g)",
y="comprimento do bico (mm)",
fill="Espécies",
color="Espécies")+
scale_x_continuous(breaks = seq(2500,7000,500))+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Para criar os clúster baseados em polígonos, foi usada a função
geom_polygon(), onde antes é necessário calcular a área do
polígono: foi usada a função group_by() com a variável
species, para diferenciar em função das espécies, em
seguida usando a função slice*(), com chul()
junto, utilizando o eixo X e o eixo Y utilizado no gráfico, para indicar
com base em que produzir os polígonos. Com o novo objeto criado, foram
então feitos os polígonos. Nesse caso, o que é feito é criar um
mínimo polígono convexo. A vantagem deste em relação aos
demais é que, ao usar um mínimo polígono convexo, os clusters ocupam o
menor espaço possível, o que é útil para tentar diferenciar os grupos
dentro de uma dispersão, já que usar o menor espaço possível também
evita confundir áreas de intersseção.
20 Gráfico de Caminhada
20.1 Quando usar
Em algumas situações onde estão sendo trabalhado com dados espaciais
de pontos em coordenadas específicas, busca-se entender a trajetória
daqueles pontos num espaço geográfico. É uma abordagem muito utilizada
ao trabalhar com objetos espaciais, como ruas, rios, trilhas ou o
caminho percorrido por algum animal. A forma mais clara de vizualizar
estes tipos de dados é através de um caminho, representado por uma
linha. Contudo, por mais que a função geom_line() seja
usada para criar linhas nos gráficos, esta não é a mais adequada, e sim,
a função geom_path().
20.2 Packages exigidos
library(readxl)
library(tidyverse)Além do package tidyverse, que carregará não apenas o
package ggplot2 como também outros packages para trabalhar
com os dados, foi carregado o package readxl, para poder
carregar nossa base de dados.
20.3 Carregando a base de dados
bdr<-read_xlsx("G:/Meu Drive/R/Base de dados rio.xlsx")
bdr## # A tibble: 30 × 14
## X Y dfs ele slo dis pH har pho nit amm oxy bod
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 85.7 20 0.3 934 48 0.84 7.9 45 0.01 0.2 0 12.2 2.7
## 2 85.0 20.1 2.2 932 3 1 8 40 0.02 0.2 0.1 10.3 1.9
## 3 92.3 23.8 10.2 914 3.7 1.8 8.3 52 0.05 0.22 0.05 10.5 3.5
## 4 91.3 26.4 18.5 854 3.2 2.53 8 72 0.1 0.21 0 11 1.3
## 5 92.0 29.2 21.5 849 2.3 2.64 8.1 84 0.38 0.52 0.2 8 6.2
## 6 96.0 36.3 32.4 846 3.2 2.86 7.9 60 0.2 0.15 0 10.2 5.3
## 7 98.2 38.8 36.8 841 6.6 4 8.1 88 0.07 0.15 0 11.1 2.2
## 8 99.5 46.4 49.1 792 2.5 1.3 8.1 94 0.2 0.41 0.12 7 8.1
## 9 110. 55.9 70.5 752 1.2 4.8 8 90 0.3 0.82 0.12 7.2 5.2
## 10 131. 66.6 99 617 9.9 10 7.7 82 0.06 0.75 0.01 10 4.3
## # … with 20 more rows, and 1 more variable: pontos <dbl>Será utilizada uma base de dados que contém dados de coordenadas
espaciais (X e Y) e dandos ambientais de
trechos de um rio.
20.4 Porque não usar
geom_line()
bdr %>%
ggplot(aes(X,Y))+
geom_line(size=1)+
labs(title = "Pontos do rio",
x="Longitude",
y="Latitude")+
tema
Como pode ser observado, não é formado um caminho em si, mas uma
linha que cresce e sobe. Isso acontece pois o geom_line()
forma uma linha linear: ela vai da esquerda para a direita. Como o
objetivo é formar uma linha que se comporte como um caminho, que possa
fazer curvas e desvios, o mais adequada é usar a função
geom_path().
20.5 Criando o gráfico
bdr %>%
ggplot(aes(X,Y,label=pontos))+
geom_path(size=1)+
geom_label(size=2.5)+
labs(title = "Pontos do rio",
x="Longitude",
y="Latitude")+
tema
Como observado acima, agora temos um caminho traçado. O próximo passo agora é customizar. Para isso, valos levantar as seguintes perguntas: como se comporta a elevação e a demanda biológica por oxigênio?
20.6 Plotando a elevação
bdr %>%
ggplot(aes(X,Y,color=ele,label=pontos))+
geom_path(size=1.5)+
geom_label(size=2.5,color="black")+
labs(title = "Pontos do rio",
x="Longitude",
y="Latitude",
color="elevação (m)")+
scale_color_gradientn(colours =c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"))+
tema
Como é possível observar, o ponto 1 é o ponto com maior elevação do rio, e segue-se um gradiente até o último ponto.
20.7 Plotando elevação e a demanda biológica por exigênio
bdr %>%
ggplot(aes(X,Y,color=ele,label=pontos,fill=bod))+
geom_path(size=1.5)+
geom_label(size=2.5,color="black")+
labs(title = "Pontos do rio",
x="Longitude",
y="Latitude",
fill="BOD",
color="Elevação (m)")+
scale_fill_gradientn(colours=c("greenyellow","lawngreen","green","mediumspringgreen","dodgerblue","royalblue","purple4"),
breaks=seq(1,17,2))+
scale_color_gradientn(colours=c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"))+
tema
Ao contrário do que foi observado nos dados de elevação, não foi possível observar um gradiente sobre o a demanda biológica por exigênio (BOD) ao longo do rio, onde os pontos 23 e 25 apresentaram altas taxas de BOD em relação às demais.
21 Gráfico de pontos “nervosos”
21.1 Quando usar
Uma desvantagem do uso de boxplots é que o boxplot não apresenta a distribuição dos pontos: os quartis apresenta apenas intervalos específicos. Em algumas situações, até não é aconselhável o uso de boxplots. Contudo, uma alternativa que tem se popularizado com o tempo é o uso de boxplots com pontos que representam dados.
21.2 Packages exigidos
library(tidyverse)Foi carregado o package tidyverse, que permite não só
utilizar outros packages para o tratamento de dados quanto o uso do
package ggplot2.
21.3 Carregando os dados
Mpg<-mpg
Mpg## # A tibble: 234 × 11
## manufacturer model displ year cyl trans drv cty hwy fl class
## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
## 1 audi a4 1.8 1999 4 auto… f 18 29 p comp…
## 2 audi a4 1.8 1999 4 manu… f 21 29 p comp…
## 3 audi a4 2 2008 4 manu… f 20 31 p comp…
## 4 audi a4 2 2008 4 auto… f 21 30 p comp…
## 5 audi a4 2.8 1999 6 auto… f 16 26 p comp…
## 6 audi a4 2.8 1999 6 manu… f 18 26 p comp…
## 7 audi a4 3.1 2008 6 auto… f 18 27 p comp…
## 8 audi a4 quattro 1.8 1999 4 manu… 4 18 26 p comp…
## 9 audi a4 quattro 1.8 1999 4 auto… 4 16 25 p comp…
## 10 audi a4 quattro 2 2008 4 manu… 4 20 28 p comp…
## # … with 224 more rowsFoi carregada a base de dados mpg, que armazena dados
econômicos sobre 38 modelos de carros populares 1999-2008, e atribuído
ao objeto Mpg. Essa e outras bases de dados, como a base de
dados star wars está no sistema do package
ggplot2
21.4 Criando gráfico boxplot+pontos
Mpg %>%
ggplot(aes(class,hwy))+
geom_boxplot(color="black")+
labs(title = "milhas/galão em relação à classe do carro",
x="classe",
y="mihas/galão",
fill="classe")+
tema
Para entender melhor como os dados se distribuem, usará agora pontos.
Mpg %>%
ggplot(aes(class,hwy,fill=class))+
geom_point(size=3,color="black",shape=21)+
geom_boxplot(color="black",fill=NA,size=0.643)+
labs(title = "milhas/galão em relação à classe do carro",
x="classe",
y="mihas/galão",
fill="classe")+
scale_fill_manual(values=c("chocolate1","gold","royalblue","firebrick","seagreen1","darkorchid1","limegreen"))+
tema
Para conseguirmos entender mais informações no gráfico.
Mpg %>%
ggplot(aes(class,hwy,fill=displ))+
geom_point(shape=21,color="black",size=3)+
geom_boxplot(fill=NA,color="black",size=0.643)+
labs(title = "milhas/galão em relação à classe do carro",
x="classe",
y="mihas/galão",
fill="cilidradas/motor(L)")+
scale_fill_gradientn(colours=c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"),breaks=seq(1.6,7.0,0.9))+
tema
Dess forma, é mais visível observarr a distibuição dos dados que compõe o boxplot. Nesse exemplo, os pontos se comportam formando uma linha vertical. Alternativamente, é possível utilizar ontos distribuídos não em uma linha reta.
21.5 Criando o gráfico “nervoso”
Mpg %>%
ggplot(aes(class,hwy,fill=displ))+
geom_jitter(shape=21,color="black",size=3)+
geom_boxplot(fill=NA,color="black",size=0.643)+
labs(title = "milhas/galão em relação à classe do carro",
x="classe",
y="mihas/galão",
fill="cilidradas/motor(L)")+
scale_fill_gradientn(colours=c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"),breaks=seq(1.6,7.0,0.9))+
tema
Usando o comando geom_jitterr(), ao invés de os pontos
estarem distribuídos não como um linha reta, mas sim distribuídos como
grupos também na horizontal. Importante ressaltar que a distribuição
horizontal segue de forma aleatória, e cada novo plot, por mais que use
os mesmos dados, trás uma nova distribuição.
Mpg %>%
ggplot(aes(class,hwy,fill=displ))+
geom_jitter(shape=21,color="black",size=3)+
geom_boxplot(fill=NA,color="black",size=0.643)+
labs(title = "milhas/galão em relação à classe do carro",
x="classe",
y="mihas/galão",
fill="cilidradas/motor(L)")+
scale_fill_gradientn(colours=c("purple4","royalblue","dodgerblue","deepskyblue","mediumspringgreen","springgreen","green","lawngreen","greenyellow","yellow", "gold","darkorange","chocolate1","orangered","red","darkred"),breaks=seq(1.6,7.0,0.9))+
tema
Como foi possível observar, uma nova distribuição. Uma possível desvantagem desse uso é que, pelos pontos também possuírem uma distribuição horizontal, é possível haja problemas de interpretações quanto às distribuições horizontais.
22 Gráfico Violino
22.1 Quando usar
É muito comum ao usar boxplots perder um pouco da noção sobre o quanto de dados cada intervalo possui. Os boxplots são úteis para sintetizar a distribuição dos dados de uma variável, mas não permite informar em que ponto daquela variável houve maior cinjunto de dados. Esse tipo de informação é útil quando deseja-se entender em que ponto uma variável apresentou mais observações.
22.2 Packages exigidos
library(tidyverse)Foi carregado o package tidyverse, que permite não só utilizar outros packages para o tratamento de dados quanto o uso do package ggplot2.
22.3 Criando um gráfico como exemplo
Iris<-iris
Iris## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5.0 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## 11 5.4 3.7 1.5 0.2 setosa
## 12 4.8 3.4 1.6 0.2 setosa
## 13 4.8 3.0 1.4 0.1 setosa
## 14 4.3 3.0 1.1 0.1 setosa
## 15 5.8 4.0 1.2 0.2 setosa
## 16 5.7 4.4 1.5 0.4 setosa
## 17 5.4 3.9 1.3 0.4 setosa
## 18 5.1 3.5 1.4 0.3 setosa
## 19 5.7 3.8 1.7 0.3 setosa
## 20 5.1 3.8 1.5 0.3 setosa
## 21 5.4 3.4 1.7 0.2 setosa
## 22 5.1 3.7 1.5 0.4 setosa
## 23 4.6 3.6 1.0 0.2 setosa
## 24 5.1 3.3 1.7 0.5 setosa
## 25 4.8 3.4 1.9 0.2 setosa
## 26 5.0 3.0 1.6 0.2 setosa
## 27 5.0 3.4 1.6 0.4 setosa
## 28 5.2 3.5 1.5 0.2 setosa
## 29 5.2 3.4 1.4 0.2 setosa
## 30 4.7 3.2 1.6 0.2 setosa
## 31 4.8 3.1 1.6 0.2 setosa
## 32 5.4 3.4 1.5 0.4 setosa
## 33 5.2 4.1 1.5 0.1 setosa
## 34 5.5 4.2 1.4 0.2 setosa
## 35 4.9 3.1 1.5 0.2 setosa
## 36 5.0 3.2 1.2 0.2 setosa
## 37 5.5 3.5 1.3 0.2 setosa
## 38 4.9 3.6 1.4 0.1 setosa
## 39 4.4 3.0 1.3 0.2 setosa
## 40 5.1 3.4 1.5 0.2 setosa
## 41 5.0 3.5 1.3 0.3 setosa
## 42 4.5 2.3 1.3 0.3 setosa
## 43 4.4 3.2 1.3 0.2 setosa
## 44 5.0 3.5 1.6 0.6 setosa
## 45 5.1 3.8 1.9 0.4 setosa
## 46 4.8 3.0 1.4 0.3 setosa
## 47 5.1 3.8 1.6 0.2 setosa
## 48 4.6 3.2 1.4 0.2 setosa
## 49 5.3 3.7 1.5 0.2 setosa
## 50 5.0 3.3 1.4 0.2 setosa
## 51 7.0 3.2 4.7 1.4 versicolor
## 52 6.4 3.2 4.5 1.5 versicolor
## 53 6.9 3.1 4.9 1.5 versicolor
## 54 5.5 2.3 4.0 1.3 versicolor
## 55 6.5 2.8 4.6 1.5 versicolor
## 56 5.7 2.8 4.5 1.3 versicolor
## 57 6.3 3.3 4.7 1.6 versicolor
## 58 4.9 2.4 3.3 1.0 versicolor
## 59 6.6 2.9 4.6 1.3 versicolor
## 60 5.2 2.7 3.9 1.4 versicolor
## 61 5.0 2.0 3.5 1.0 versicolor
## 62 5.9 3.0 4.2 1.5 versicolor
## 63 6.0 2.2 4.0 1.0 versicolor
## 64 6.1 2.9 4.7 1.4 versicolor
## 65 5.6 2.9 3.6 1.3 versicolor
## 66 6.7 3.1 4.4 1.4 versicolor
## 67 5.6 3.0 4.5 1.5 versicolor
## 68 5.8 2.7 4.1 1.0 versicolor
## 69 6.2 2.2 4.5 1.5 versicolor
## 70 5.6 2.5 3.9 1.1 versicolor
## 71 5.9 3.2 4.8 1.8 versicolor
## 72 6.1 2.8 4.0 1.3 versicolor
## 73 6.3 2.5 4.9 1.5 versicolor
## 74 6.1 2.8 4.7 1.2 versicolor
## 75 6.4 2.9 4.3 1.3 versicolor
## 76 6.6 3.0 4.4 1.4 versicolor
## 77 6.8 2.8 4.8 1.4 versicolor
## 78 6.7 3.0 5.0 1.7 versicolor
## 79 6.0 2.9 4.5 1.5 versicolor
## 80 5.7 2.6 3.5 1.0 versicolor
## 81 5.5 2.4 3.8 1.1 versicolor
## 82 5.5 2.4 3.7 1.0 versicolor
## 83 5.8 2.7 3.9 1.2 versicolor
## 84 6.0 2.7 5.1 1.6 versicolor
## 85 5.4 3.0 4.5 1.5 versicolor
## 86 6.0 3.4 4.5 1.6 versicolor
## 87 6.7 3.1 4.7 1.5 versicolor
## 88 6.3 2.3 4.4 1.3 versicolor
## 89 5.6 3.0 4.1 1.3 versicolor
## 90 5.5 2.5 4.0 1.3 versicolor
## 91 5.5 2.6 4.4 1.2 versicolor
## 92 6.1 3.0 4.6 1.4 versicolor
## 93 5.8 2.6 4.0 1.2 versicolor
## 94 5.0 2.3 3.3 1.0 versicolor
## 95 5.6 2.7 4.2 1.3 versicolor
## 96 5.7 3.0 4.2 1.2 versicolor
## 97 5.7 2.9 4.2 1.3 versicolor
## 98 6.2 2.9 4.3 1.3 versicolor
## 99 5.1 2.5 3.0 1.1 versicolor
## 100 5.7 2.8 4.1 1.3 versicolor
## 101 6.3 3.3 6.0 2.5 virginica
## 102 5.8 2.7 5.1 1.9 virginica
## 103 7.1 3.0 5.9 2.1 virginica
## 104 6.3 2.9 5.6 1.8 virginica
## 105 6.5 3.0 5.8 2.2 virginica
## 106 7.6 3.0 6.6 2.1 virginica
## 107 4.9 2.5 4.5 1.7 virginica
## 108 7.3 2.9 6.3 1.8 virginica
## 109 6.7 2.5 5.8 1.8 virginica
## 110 7.2 3.6 6.1 2.5 virginica
## 111 6.5 3.2 5.1 2.0 virginica
## 112 6.4 2.7 5.3 1.9 virginica
## 113 6.8 3.0 5.5 2.1 virginica
## 114 5.7 2.5 5.0 2.0 virginica
## 115 5.8 2.8 5.1 2.4 virginica
## 116 6.4 3.2 5.3 2.3 virginica
## 117 6.5 3.0 5.5 1.8 virginica
## 118 7.7 3.8 6.7 2.2 virginica
## 119 7.7 2.6 6.9 2.3 virginica
## 120 6.0 2.2 5.0 1.5 virginica
## 121 6.9 3.2 5.7 2.3 virginica
## 122 5.6 2.8 4.9 2.0 virginica
## 123 7.7 2.8 6.7 2.0 virginica
## 124 6.3 2.7 4.9 1.8 virginica
## 125 6.7 3.3 5.7 2.1 virginica
## 126 7.2 3.2 6.0 1.8 virginica
## 127 6.2 2.8 4.8 1.8 virginica
## 128 6.1 3.0 4.9 1.8 virginica
## 129 6.4 2.8 5.6 2.1 virginica
## 130 7.2 3.0 5.8 1.6 virginica
## 131 7.4 2.8 6.1 1.9 virginica
## 132 7.9 3.8 6.4 2.0 virginica
## 133 6.4 2.8 5.6 2.2 virginica
## 134 6.3 2.8 5.1 1.5 virginica
## 135 6.1 2.6 5.6 1.4 virginica
## 136 7.7 3.0 6.1 2.3 virginica
## 137 6.3 3.4 5.6 2.4 virginica
## 138 6.4 3.1 5.5 1.8 virginica
## 139 6.0 3.0 4.8 1.8 virginica
## 140 6.9 3.1 5.4 2.1 virginica
## 141 6.7 3.1 5.6 2.4 virginica
## 142 6.9 3.1 5.1 2.3 virginica
## 143 5.8 2.7 5.1 1.9 virginica
## 144 6.8 3.2 5.9 2.3 virginica
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.7 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginicaFoi carregada a bse de dados iris, que descreve o
comprimento e a largura das pétalas e das sépalas de 3 espécies de
plantas do gênero Iris sp (I. setosa, I.
versicolor e I. virginica) (Fisher, R. A. (1936) The use
of multiple measurements in taxonomic problems. Annals of Eugenics, 7,
Part II, 179–188, The data were collected by Anderson, Edgar (1935). The
irises of the Gaspe Peninsula, Bulletin of the American Iris Society,
59, 2–5), e atribuído ao objeto iris. Essa base de dados é
nativa do próprio sistema do R, então não é necessário baixá-la por fora
nem instalar nenhum package para utiliza-la.
22.4 Gráfico de violino
Iris %>%
ggplot(aes(Species,Sepal.Length,fill=Species))+
geom_violin(color="black",aes(fill=Species))+
labs(x="espécies",
y="comprimento da sépala",
fill="espécies")+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Como foi possível observar, as 3 espécies possuem um padrão os dados possuem uma gaussiana: os valores do comprimento mais frequente para as 3 espécies foram valores médios. Também foi possível observar que a espécie I. setosa mais valores de comprimento mínimo da sépala em relação ao comprimento máximo observado, equanto que foi observado o oposto na espécie I. virginica.
22.5 Utilizando em conjunto com boxplot
Iris %>%
ggplot(aes(Species,Sepal.Length,fill=Species))+
geom_violin(color="black",aes(fill=Species))+
geom_boxplot(color="black",alpha=0)+
labs(x="espécies",
y="comprimento da sépala",
fill="espécies")+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Foi criado um gráfico de boxplot em conjunto com o gráfico de violino, para somar as propriedades dos dois tipos de gráficos.
22.6 Utilizando em conjunto gráfico “nervoso”
Iris %>%
ggplot(aes(Species,Sepal.Length,fill=Species))+
geom_violin(color="black",aes(fill=Species))+
geom_boxplot(color="black",alpha=0)+
geom_jitter(color="black",aes(fill=Species),size=4,shape=21,alpha=0.55)+
labs(x="espécies",
y="comprimento da sépala",
fill="espécies")+
scale_fill_manual(values=c("#FFAA52","#52FF73","#8952FF"))+
tema
Outra forma de apresentar os dados é utilizando a função
geom_jiter(). Como o geom_violin() e o
geom_jiter(), na prátrica, apresentam a mesma coisa
(distribuição e concentração dos dados ao longo de uma distribuição), é
uma escolha interessante unir as duas funções. A vantagem do
geom_violin() é que ele resolve um problema do
geom_jiter(): enquanto que a distribuição horizontal
aleatória dos pontos do geom_jiter() pode comprometer a
interpretação, o geom_violin()consegue representar a mesma
coisa, mas sem comprometer a interpretação.
23 Mapas
23.1 Quando utilizar
Nos últimos anos, o R ganhou notoriedade no quesito análises de dados
espaciais, e isso faz com que o desenvolvimento da visualização destes
dados também tenham ganhado notoriedade, principalmente o
ggplot.
23.2 Packages exigidos
library(tidyverse)
library(geobr)
library(sf)
library(sp)
library(raster)
library(ggspatial)Foi carregado o pacote o package tidyverse para o
tratamento dos dados e para usar a função ggplot(), o
package geobr foi carregado para extrair dados vetoriais do
Brasil, os packages sf, sp e
raster foram carregados para carregar e trabalhar com dados
vetorais e matriciais, e o package ggspatial foi carregado
para adicionar elementos aos mapas.
23.3 Carregando dados
23.3.1 Dados vetoriais
Dados vetoriais são polígonos, shapefiles, criados para demarcar uma
área, baseado em coordenadas. Normalmente, estão no fromato
.shp. A função read_sf(), do package
sf, bastando apenas indicar o caminho do dispositivo. Por
exemplo:
BR<-read_sf("G:/Meu Drive/QGIS/BR_Pais_2021.shp")
BR %>% plot
Arquivos .shp podem contar mais de uma propriedade dentro desses,
como as variáveis de um dataset. Contudo, para facilitar, será utilizada
o package geobr, onde a função read_country()
carrega o shapefile Do Brasil, a função read_state() os
estados e a função read_municipality() os municípios, onde
foi filtrado apenas para Recife.
Brasil<-read_country()##
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## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -73.99045 ymin: -33.75208 xmax: -28.83594 ymax: 5.271841
## Geodetic CRS: SIRGAS 2000
## geom
## 1 MULTIPOLYGON (((-48.46837 -...Estados<-read_state()##
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|======================================================================| 100%Estados## Simple feature collection with 27 features and 5 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -66.81025 ymin: -13.6937 xmax: -59.77435 ymax: -7.969294
## Geodetic CRS: SIRGAS 2000
## First 10 features:
## code_state abbrev_state name_state code_region name_region
## 1 11 RO Rondônia 1 Norte
## 2 12 AC Acre 1 Norte
## 3 13 AM Amazonas 1 Norte
## 4 14 RR Roraima 1 Norte
## 5 15 PA Pará 1 Norte
## 6 16 AP Amapá 1 Norte
## 7 17 TO Tocantins 1 Norte
## 8 21 MA Maranhão 2 Nordeste
## 9 22 PI Piauí 2 Nordeste
## 10 23 CE Ceará 2 Nordeste
## geom
## 1 MULTIPOLYGON (((-63.32721 -...
## 2 MULTIPOLYGON (((-73.18253 -...
## 3 MULTIPOLYGON (((-67.32609 2...
## 4 MULTIPOLYGON (((-60.20051 5...
## 5 MULTIPOLYGON (((-54.95431 2...
## 6 MULTIPOLYGON (((-51.1797 4....
## 7 MULTIPOLYGON (((-48.35878 -...
## 8 MULTIPOLYGON (((-45.84073 -...
## 9 MULTIPOLYGON (((-41.74605 -...
## 10 MULTIPOLYGON (((-41.16703 -...estados<-read_sf("G:/Meu Drive/QGIS/BR_UF_2021.shp")
estados## Simple feature collection with 27 features and 4 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -73.99045 ymin: -33.75118 xmax: -28.84764 ymax: 5.271841
## Geodetic CRS: SIRGAS 2000
## # A tibble: 27 × 5
## CD_UF NM_UF SIGLA NM_REGIAO geometry
## <chr> <chr> <chr> <chr> <MULTIPOLYGON [°]>
## 1 11 Rondônia RO Norte (((-62.86662 -7.975868, -62.86017 -7.982323,…
## 2 12 Acre AC Norte (((-73.1655 -7.341657, -73.0548 -7.381713, -…
## 3 13 Amazonas AM Norte (((-67.32609 2.029714, -67.31682 2.00125, -6…
## 4 14 Roraima RR Norte (((-60.20051 5.264343, -60.19828 5.260453, -…
## 5 15 Pará PA Norte (((-46.43676 -1.019055, -46.43723 -1.019144,…
## 6 16 Amapá AP Norte (((-50.45011 2.109243, -50.44715 2.109169, -…
## 7 17 Tocantins TO Norte (((-48.35878 -5.170085, -48.35617 -5.171852,…
## 8 21 Maranhão MA Nordeste (((-44.66115 -2.980178, -44.66157 -2.980344,…
## 9 22 Piauí PI Nordeste (((-41.78076 -2.760779, -41.77935 -2.764125,…
## 10 23 Ceará CE Nordeste (((-40.49582 -2.785405, -40.49242 -2.787038,…
## # … with 17 more rowsRecife<-read_municipality() %>%
filter(name_muni=="Recife")##
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|======================================================================| 100%Recife## Simple feature collection with 1 feature and 4 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -35.0167 ymin: -8.155123 xmax: -34.86058 ymax: -7.929206
## Geodetic CRS: SIRGAS 2000
## code_muni name_muni code_state abbrev_state geom
## 1 2611606 Recife 26 PE MULTIPOLYGON (((-34.96842 -...Catimbau<-read_sf("G:/Meu Drive/QGIS/Catimbau.shp")23.3.2 Dados matriciais
Já os dados matriciais, os raters, são dados que mostram diferentes
valores em diferentes pontos, através de pixelagem. Eles são utilizados
para gradientes em áreas espaciais, como em mapas de altitude,
normalmente no formato .tif.
topo_catimbau <- raster("G:/Meu Drive/QGIS/TopoCatimbau.tif")Assim como com os shapefiles, é possível carregar rasters do
dispositivo, através da função raster(), do package
raster. Contudo, também é possível baixar rasters usando o
R. Um exemplo de bases de dados, é a plataforma online WorldClim.
É possível acessá-la através do função worldclim_country(),
do package geodata.
São 19 variáveis bioclimáticas do WorldClim, sendo estas:
BIO1= Temperatura Média Anual;BIO2= Intervalo Diurno Médio (Média do mês (temperatura máxima - temperatura mín.));BIO3= Isotermalidade (BIO2/BIO7) (×100);BIO4= Sazonalidade da Temperatura (desvio padrão ×100);BIO5= Temperatura máxima do mês mais quente;BIO6= Temperatura mínima do mês mais frio;BIO7= Faixa Anual de Temperatura (BIO5-BIO6);BIO8= Temperatura média do trimestre mais úmido;BIO9= Temperatura média do trimestre mais seco;BIO10= Temperatura Média do Trimestre Mais Quente;BIO11= Temperatura média do trimestre mais frio;BIO12= Precipitação Anual;BIO13= Precipitação do mês mais úmido;BIO14= Precipitação do Mês Mais Seco;BIO15= Sazonalidade de Precipitação (Coeficiente de Variação);BIO16= Precipitação do trimestre mais úmido;BIO17= Precipitação do trimestre mais seco;BIO18= Precipitação do Quarto Mais Quente;BIO19= Precipitação do trimestre mais frio;
Ao escolher a variável bio, no comando
var=bio, escolhe-se as variáveis bioclimáticas, mas outras
variáveis, como:
tmin;tmax;tavg;prec;bio;elev
Existem outros pacotes e outros tipos de rasters que podem ser
baixados, como dados de elevação, do pacote elevatr.
Contudo, para facilitar esse guia, cujo objetivo é a costrução do
ggplot, aqui será focado no que fazer tendo os dados em mãos, e não na
aquisição destes dados. Em caso de dúvidas sobre aquisição de dados
rasters, como citados acima, recomendamos que o leitor procure materiais
sobre os pacotes e as funções citadas.
23.4 Construindo ggplot com polígonos
ggplot()+
geom_sf(data=Brasil)+
tema
De forma bem simples, utilizando a função geom_sf(), é
possível carregar os shapefiles no ggplot. Assim como em outros ggplots,
cor de contorno e preenchimento podem ser definidos.
ggplot()+
geom_sf(data=Brasil,color="black",fill="yellow",alpha=0.5,linewidth=1)+
tema
Além do básico já apresentado nesse guia, é posível definir a
expessura da linha pelo comando linewidth=.
23.4.1 Mapa com diferenciação dos polígonos
ggplot()+
geom_sf(data=Estados,aes(fill=name_region),color="black",linewidth=0.75)+
scale_fill_manual(values = c("orangered",
"yellow",
"green",
"royalblue1",
"purple4"
))+
labs(fill="região")+
tema
Alguns arquivos .shp possuem variáveis, semelhante aos
arquivos dataframe e tibble. Assim como foi feito em outros ggplots, é
possível fazer diferenças baseadas nestas variáveis. Nesse caso, foi
divido pela variável da região correspondente ao estado.
23.4.2 Adicionando rótulos nos polígonos
ggplot()+
geom_sf(data=Estados,aes(fill=name_region),color="black",linewidth=0.75)+
geom_sf_text(data=Estados,
aes(label=abbrev_state),
color="black",
size=3)+
scale_fill_manual(values = c("orangered",
"yellow",
"green",
"royalblue1",
"purple4"
))+
labs(fill="região")+
tema## Warning in st_point_on_surface.sfc(sf::st_zm(x)): st_point_on_surface may not
## give correct results for longitude/latitude data
Quando se está trabalhando com dados vetoriasis, ao invés de se usar
geom_label() ou geom_text(), deve-se usar
geom_sf_label() ou geom_sf_text(), mas
seguindo a mesma lógica de funcionamento que as outras funções de rótulo
e texto.
23.4.3 Mapa com mais de uma camada
ggplot()+
geom_sf(data=Brasil,color="black",aes(fill="Brasil"))+
geom_sf(data=subset(Estados,name_region=="Nordeste"),aes(fill="Nordeste"),color="black")+
geom_sf(data=subset(Estados,name_state=="Pernambuco"),aes(fill="Pernambuco"),color="black")+
scale_fill_manual(values = c("darkgreen",
"gray",
"yellow"))+
labs(fill=NULL)+
tema
Na construção de mapas, cada arquivo vetorial funciona como uma
camada, então é possível fazer camadas sobreporem camadas. Nesse caso,
era desejado usar mais duas camadas: uma contendo apenas os estados do
Nordeste e outra apenas o estado de Pernambuco. Para extrair estas
informações, usou-se a função subset() para as camandas,
selecionando apenas o que era desejado. Alternativamente, pode-se
utilizar comandos de filtragem prévios com a função
filter(). Contudo, não são vetores vindo de uma mesma
fonte, então para divir as cores dos vetores, na função
aes(), em fill=, ao invés de escolher uma cor,
apenas deu-se o nome do preenchimento da camada, e na função
scale_fill_manual(), foram escolhidas as cores.
23.4.4 Alterando a escala do mapa
ggplot()+
geom_sf(data=Brasil,color="black",aes(fill="Brasil"))+
geom_sf(data=subset(Estados,name_region=="Nordeste"),aes(fill="Nordeste"),color="black")+
geom_sf(data=subset(Estados,name_state=="Pernambuco"),aes(fill="Pernambuco"),color="black")+
geom_sf(data=Recife,aes(fill="Recife"),color="black")+
scale_fill_manual(values = c("darkgreen",
"gray",
"yellow",
"orangered"))+
labs(fill=NULL)+
tema
Nessa situação, foi adicionada uma nova camada, correspondente à
cidade de Recife. Contudo, a escala não permite vizualizar Recife de
forma adquada. Para alterar a escala dos mapas feitos em ggplot, é usada
a função coord_sf().
ggplot()+
geom_sf(data=Brasil,color="black",aes(fill="Brasil"))+
geom_sf(data=subset(Estados,name_region=="Nordeste"),aes(fill="Nordeste"),color="black")+
geom_sf(data=subset(Estados,name_state=="Pernambuco"),aes(fill="Pernambuco"),color="black")+
geom_sf(data=Recife,aes(fill="Recife"),color="black")+
coord_sf(xlim=c(-41.15,-34.5),ylim=c(-9.5,-7.25))+
scale_fill_manual(values = c("darkgreen",
"gray",
"yellow",
"orangered"))+
labs(fill=NULL)+
tema
Na função coord_sf(), é informado o intervalo da
longitude, pelo comando xlim=c(), e o intervalo da
latitude, pelo comando ylim=c(). Importante destacar que o
comando funciona em coordenadas decimais, que não são as que aparecem
nos eixos X e Y. Por isso, é importante conhecer os limites das
coordenadas no formato decimal. Nesse caso, como não aparece mais a
camada do Brasil, pode-se remover ela sem problemas.
ggplot()+
geom_sf(data=subset(Estados,name_region=="Nordeste"),aes(fill="Nordeste"),color="black")+
geom_sf(data=subset(Estados,name_state=="Pernambuco"),aes(fill="Pernambuco"),color="black")+
geom_sf(data=Recife,aes(fill="Recife"),color="black")+
coord_sf(xlim=c(-41.15,-34.5),ylim=c(-9.5,-7.25))+
scale_fill_manual(values = c("gray",
"yellow",
"orangered"))+
labs(fill=NULL)+
tema
23.4.5 Adicionando elementos de escala e seta
ggplot()+
geom_sf(data=Brasil,color="black",aes(fill="Brasil"))+
geom_sf(data=subset(Estados,name_region=="Nordeste"),aes(fill="Nordeste"),color="black")+
geom_sf(data=subset(Estados,name_state=="Pernambuco"),aes(fill="Pernambuco"),color="black")+
scale_fill_manual(values = c("darkgreen",
"gray",
"yellow"))+
coord_sf(xlim=c(-73,-35.5),ylim=c(-33,4))+
annotation_scale(location="br",height = unit(0.3,"cm"),bar_cols=c("black","yellow"))+
annotation_north_arrow(style = north_arrow_nautical(fill=c("black","yellow")), location="tr",height = unit(1.85,"cm"),width = unit(1.85,"cm"))+
labs(fill=NULL)+
tema
Usando a função annotation_scale(), é possível adicionar
uma barra de escala, onde o comando location= comando onde
onde a barra aparecerá no mapa, onde:
"br": abaixo e à direita;"bl": abaixo e à esquerda;"tr": acima e à direita;"tl": acima e à esquerda.
Além deste comando, há o comando bar_cols=c(), onde é
possível selecionar a cor das barras. O padrão é preto e branco
(bar_cols=c("black","white")), que é o que aparecerá se
este comando não for informado. O comando height=unit()
comanda a altura da barra.
Além desta função, foi usada a função
annotation_north_arrow(), que cria uma rosa dos ventos no
mapa. O comando location= funciona exatamente como
annotation_scale(). O comando style= comanda o
estilo da seta, sendo estes:
north_arrow_orienteering;north_arrow_fancy_orienteering;north_arrow_minimal;north_arrow_nautical.
No estilo de seta escolhida, o comando fill=c() comanda
as cores da rosa dos ventos. Por fim, o comando heigth=
comanda a altura e width= o comprimento.
Tanto annotation_scale() quanto
annotation_north_arrow() são do pacote
ggspatial.
23.5 Construindo ggplot com raster
Há formas automáticas de criar mapas raster no R, como com a função
plot(). Contudo, o ggplot, a história é um pouco mais
compexa. Acontece que, atualmente (23 de Novembro de 2022), não existem
funções que leiam rasters no ggplot. Então, para serem trabalhados no
ggplot, os rasters antes precisam ser convertidos em data framses.
23.5.1 Preparando os dados
topo_catimbau<-topo_catimbau %>%
mask(Catimbau) %>%
crop(Catimbau)
topo_catimbau_df<-topo_catimbau %>%
as.data.frame(xy=TRUE) %>%
na.omit()
colnames(topo_catimbau_df)[3]<-"altitude"
topo_catimbau_df## x y altitude
## 999 -37.28125 -8.387639 542.826
## 2350 -37.28236 -8.387917 542.567
## 2351 -37.28208 -8.387917 542.216
## 2352 -37.28180 -8.387917 541.961
## 2353 -37.28152 -8.387917 542.200
## 2354 -37.28125 -8.387917 542.493
## 2355 -37.28097 -8.387917 542.824
## 2356 -37.28069 -8.387917 543.398
## 2357 -37.28041 -8.387917 543.971
## 3702 -37.28319 -8.388194 543.814
## 3703 -37.28291 -8.388194 543.328
## 3704 -37.28263 -8.388194 542.914
## 3705 -37.28236 -8.388194 542.407
## 3706 -37.28208 -8.388194 542.096
## 3707 -37.28180 -8.388194 542.022
## 3708 -37.28152 -8.388194 542.155
## 3709 -37.28125 -8.388194 542.458
## 3710 -37.28097 -8.388194 542.805
## 3711 -37.28069 -8.388194 543.244
## 3712 -37.28041 -8.388194 543.829
## 3713 -37.28013 -8.388194 544.410
## 3714 -37.27986 -8.388194 544.949
## 3715 -37.27958 -8.388194 545.687
## 5054 -37.28402 -8.388472 544.949
## 5055 -37.28375 -8.388472 544.071
## 5056 -37.28347 -8.388472 543.472
## 5057 -37.28319 -8.388472 543.174
## 5058 -37.28291 -8.388472 543.084
## 5059 -37.28263 -8.388472 542.893
## 5060 -37.28236 -8.388472 542.527
## 5061 -37.28208 -8.388472 542.325
## 5062 -37.28180 -8.388472 542.315
## 5063 -37.28152 -8.388472 542.380
## 5064 -37.28125 -8.388472 542.608
## 5065 -37.28097 -8.388472 542.911
## 5066 -37.28069 -8.388472 543.378
## 5067 -37.28041 -8.388472 543.918
## 5068 -37.28013 -8.388472 544.420
## 5069 -37.27986 -8.388472 544.813
## 5070 -37.27958 -8.388472 545.230
## 5071 -37.27930 -8.388472 545.798
## 5072 -37.27902 -8.388472 546.632
## 6406 -37.28486 -8.388750 546.309
## 6407 -37.28458 -8.388750 545.341
## 6408 -37.28430 -8.388750 544.418
## 6409 -37.28402 -8.388750 543.487
## 6410 -37.28375 -8.388750 542.829
## 6411 -37.28347 -8.388750 542.405
## 6412 -37.28319 -8.388750 542.586
## 6413 -37.28291 -8.388750 542.841
## 6414 -37.28263 -8.388750 543.018
## 6415 -37.28236 -8.388750 542.940
## 6416 -37.28208 -8.388750 542.789
## 6417 -37.28180 -8.388750 542.630
## 6418 -37.28152 -8.388750 542.782
## 6419 -37.28125 -8.388750 543.015
## 6420 -37.28097 -8.388750 543.366
## 6421 -37.28069 -8.388750 543.856
## 6422 -37.28041 -8.388750 544.360
## 6423 -37.28013 -8.388750 544.808
## 6424 -37.27986 -8.388750 545.099
## 6425 -37.27958 -8.388750 545.383
## 6426 -37.27930 -8.388750 545.669
## 6427 -37.27902 -8.388750 546.214
## 6428 -37.27875 -8.388750 546.832
## 6429 -37.27847 -8.388750 547.559
## 7757 -37.28597 -8.389028 546.036
## 7758 -37.28569 -8.389028 545.895
## 7759 -37.28541 -8.389028 545.672
## 7760 -37.28513 -8.389028 545.402
## 7761 -37.28486 -8.389028 544.788
## 7762 -37.28458 -8.389028 544.069
## 7763 -37.28430 -8.389028 543.184
## 7764 -37.28402 -8.389028 542.450
## 7765 -37.28375 -8.389028 542.034
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## 139236 -37.27375 -8.415972 576.832
## [ reached 'max' / getOption("max.print") -- omitted 630149 rows ]O primeiro passo na transformação dos dados foi recortar a área de
interesse. O raster carregado não estava com a área desejada. Para isso,
utilizando a função mask(), e em seguida a função
crop(), ambas para o shapefile do Parque Nacional do
Catimbau, foi delimitada a área de interesse. O próximo passo foi
transformar o raster em um dataframe. Para isso, foi usada a função
as.data.frame(), com o comando xy=TRUE, para
indicar que a longitude iria para a variável x, a latitude
para a variável y e seria cria uma nova variável para os
dados correspondentes aos valores de altitude. Em seguida, apenas a
variável com os dados de altitude foi renomeada, com a função
colnames().
23.5.2 Criando o ggplot
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
tema
Tendo agora o dataframe, é possível criar o mapa raster. Cotude, vale a pena a se atentar a um detalhe importante: arquivos raster são compostos de pixels, o que os tornam imagens, então uma resolução maiore irá exigir pixels menores e uma quantidade maior deles, o que torna o arquivo, muitas vezes, exponencialmente maior. Isso tudo consome informação e memória, não só do R, mas do próprio dispositivo. Então, ao escolher a resolução do arquivo raster, sempre é importante avaliar se vale a pena uma resolução alta ou se pode diminuir, sem perder informação e qualidade.
Mais ainda, é possível alterar a paleta de cor do gradiente.
23.5.3 Alterando o gradiente do raster
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c()+
tema
O grupo de paletas viridis estão entre as mais
utilizadas no R. É possível escolher qual tipo de paleta do grupo é
desejado, através do comando option=.
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c(option="rocket")+
tema
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c(option="inferno")+
tema
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c(option="cividis")+
tema
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c(option="mako")+
tema
ggplot()+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c(option="turbo")+
tema
O mapa, em termos técnicos, está pronto. Contudo, há também como combinar um arquivo raster e um arquivo shapefile.
23.6 Combinando os tipos de mapa
ggplot()+
geom_sf(data=subset(Estados,name_region=="Nordeste"),color="black",fill="gray")+
geom_sf(data=subset(Estados,name_state=="Pernambuco"),color="black",fill="yellow")+
geom_raster(data=topo_catimbau_df,aes(x,y,fill=altitude))+
geom_sf(data=Catimbau,color="black",fill=NA,linewidth=0.8)+
labs(x=NULL,
y=NULL,
fill="altitude (m)")+
scale_fill_viridis_c(option="turbo")+
coord_sf(xlim=c(-41.15,-34.5),ylim=c(-9.5,-7.25))+
annotation_scale(location="br",height = unit(0.3,"cm"))+
annotation_north_arrow(style = north_arrow_nautical, location="tr",height = unit(1.85,"cm"),width = unit(1.85,"cm"))+
tema