Zun??chst gilt es die Daten einzulesen und entsprechende Packete zu laden.

devtools::install_github("DataWookie/lifespan")
## Skipping install of 'lifespan' from a github remote, the SHA1 (fe475325) has not changed since last install.
##   Use `force = TRUE` to force installation
library(lifespan)
library(ggplot2)
head(deaths)
##   year month sex  count   avgage medage maxage
## 1 1994   Jan   F 117373 76.05143     80    112
## 2 1994   Jan   M 116849 68.34154     73    111
## 3 1994   Feb   F  91778 75.32554     79    115
## 4 1994   Feb   M  94566 67.47707     72    110
## 5 1994   Mar   F  95402 74.82837     79    114
## 6 1994   Mar   M  99881 66.83180     72    116

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:

ggplot(deaths, aes(x = year, y = avgage)) + geom_boxplot(aes(group = year, fill = sex)) + facet_wrap(~ sex)+ labs(x = "", y = "Average Age at Death")+ theme_minimal() + theme(legend.title = element_blank())

Including Plots

You can also embed plots, for example:

# death months
ggplot(deaths, aes(x = month, y = avgage)) + geom_boxplot(aes(group = month, fill = sex)) + facet_wrap(~ sex)+ labs(x = "mounth", y = "Average Age at Death")+ theme_minimal() + theme(legend.title = element_blank())

Hier sehen wir die Tode nach Monat aufgeschl??sselt.