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  
##                 
##                 
##

Graficos cuantitativos

En la siguiente figura se observa el histograma de la variabler longitud del sepalo.

library (ggplot2)
ggplot(iris,aes(x=Sepal.Length))+geom_histogram(fill="red")
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

ggplot(iris,aes(x=Sepal.Width))+geom_histogram(fill="green")
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

ggplot(iris,aes(x=Petal.Length))+geom_histogram(fill="blue")
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

ggplot(iris,aes(x=Petal.Width))+geom_histogram(fill="orange")
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## Diagrama de cajas

ggplot(iris,aes(y=Sepal.Length))+geom_boxplot(fill="red")

ggplot(iris,aes(y=Sepal.Width))+geom_boxplot(fill="green")

ggplot(iris,aes(y=Petal.Length))+geom_boxplot(fill="blue")

ggplot(iris,aes(y=Petal.Width))+geom_boxplot(fill="orange")

## Diagrama de caja por grupo

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

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

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

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

## Conclusiones - Se observa que la especie virginica presenta caracteristicas más grandes y la setosa mas pequeña. - La especie setosa presenta más datos atipicos. ## imagen

R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.