library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.1
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(modeldata)
?ggplot
## starting httpd help server ... done
?crickets
view(crickets)
#the basics
ggplot(crickets, aes(x=temp,
y=rate,
color=species)) +
geom_point() +
labs(x='temperature',
y='chirp rate',
color='species',
tittle='cricket chirps',
caption='source:Mcdonald (2009)')+
scale_color_brewer(palette='dark2')
## Warning: Unknown palette: "dark2"
#modifying basic properties of the plot
ggplot(crickets, aes(x=temp,y=rate,color=species)) +
geom_point(color='red',
size= 3,
alpha=.3,
shape='square') +
labs(x='temperature', y='chirp rate',color='species',tittle='cricket chirps', caption='source:Mcdonald (2009)')+
scale_color_brewer(palette='Dark2')
#learn more about the options for the geom
#with ?geom_point
#adding another layer
ggplot(crickets, aes(x = temp,
y = rate)) +
geom_point() +
geom_smooth(method = 'lm',
se = FALSE) +
labs(x ='Temperature',
y ='Chirp rate',
tittle='Cricket chirps',
caption ='Source:Mcdonald (2009)')
## `geom_smooth()` using formula = 'y ~ x'
ggplot(crickets, aes(x=temp,
y=rate,
color=species)) +
geom_point() +
geom_smooth(method='lm',
se=FALSE)+
labs(x ='temperature',
y ='chirp rate',
color ='species',
tittle ='cricket chirps',
caption ='source:Mcdonald (2009)')+
scale_color_brewer(palette='Dark2')
## `geom_smooth()` using formula = 'y ~ x'
#other plots
ggplot(crickets, aes(x= rate)) +
geom_histogram(bins= 15) #one quantitative variable
ggplot(crickets, aes(x= rate)) +
geom_freqpoly(bins= 15)
ggplot(crickets,aes(x=species)) +
geom_bar(color = 'black',
fill = 'lightgreen')
ggplot(crickets, aes(x= species,
fill= species)) +
geom_bar(show.legend= FALSE) +
scale_fill_brewer(palette= 'Dark2')
ggplot(crickets, aes(x= species,
y= rate,
color= species)) +
geom_boxplot(show.legend= FALSE)+
scale_color_brewer(palette= 'Dark2')
theme_minimal()
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?theme_minimal()
#faceting
ggplot(crickets, aes(x=rate,
fill= species)) +
geom_histogram(bins= 15)+
scale_fill_brewer(palette= 'Dark2')
ggplot(crickets, aes(x= rate,
fill=species))+
geom_histogram(bins= 15,
show.legend = FALSE) +
facet_wrap(~species) +
scale_fill_brewer(palette= 'Dark2')
?facet_wrap
ggplot(crickets, aes(x= rate,
fill=species))+
geom_histogram(bins= 15,
show.legend = FALSE) +
facet_wrap(~species,
ncol = 1) +
scale_fill_brewer(palette= 'Dark2')
