informe1

data(iris)
summary(iris)

##   Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
##  Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
##  1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
##  Median :5.800   Median :3.000   Median :4.350   Median :1.300  
##  Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
##  3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
##  Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
##        Species  
##  setosa    :50  
##  versicolor:50  
##  virginica :50  
##                 
##                 
## 

Interpretacion

En la tabla anterior se presentan las estadisticas descriptivas para el conjunto de datos iris, donde se observa que hay 50 flores de cada especie.

library(ggplot2)
ggplot(iris, aes(x=Sepal.Length)) + 
  geom_histogram(fill="red")

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Sepal.Width)) + 
  geom_histogram(fill="blue")

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Petal.Length)) + 
  geom_histogram(fill="pink")

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Petal.Width)) + 
  geom_histogram(fill="purple")

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

Panel Grafico

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

Diagrama de cajas comparativos

ggplot(iris, aes(y= Sepal.Length, x=Species, fill=Species)) +
  geom_boxplot()

ggplot(iris, aes(y= Sepal.Width, x=Species, fill=Species)) +
  geom_boxplot()

ggplot(iris, aes(y= Petal.Length, x=Species, fill=Species)) +
  geom_boxplot()

ggplot(iris, aes(y= Petal.Width, x=Species, fill=Species)) +
  geom_boxplot()

Diagramas de Dispersion

ggplot(iris, aes(x=Sepal.Length, y=Petal.Length)) + 
  geom_jitter() +
  geom_smooth(method="lm", colour="red")

## `geom_smooth()` using formula = 'y ~ x'

*Se observa que las variables Petal.Lenght y Petal.Lenght se encuentran correlacionadas, teniendo una relacion directamente proporcional.

cor(iris$Sepal.Length, iris$Petal.Length)

## [1] 0.8717538

#Agregar imagenes al informe

#Generar una Tabla

Encabezado Tabla	Segundo Encabezado
Celda de tabla	Celda 2
Celda 3	Celda 4