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
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.
library(vcd)
library(vcd)
head(Arthritis)
## ID Treatment Sex Age Improved
## 1 57 Treated Male 27 Some
## 2 46 Treated Male 29 None
## 3 77 Treated Male 30 None
## 4 17 Treated Male 32 Marked
## 5 36 Treated Male 46 Marked
## 6 23 Treated Male 58 Marked
mytable<- xtabs(~Treatment + Improved, data= Arthritis)
addmargins(mytable)
## Improved
## Treatment None Some Marked Sum
## Placebo 29 7 7 43
## Treated 13 7 21 41
## Sum 42 14 28 84
chisq.test(mytable)
##
## Pearson's Chi-squared test
##
## data: mytable
## X-squared = 13.055, df = 2, p-value = 0.001463
library(vcd)
mytable <- xtabs(~Improved + Sex, data= Arthritis)
addmargins(mytable)
## Sex
## Improved Female Male Sum
## None 25 17 42
## Some 12 2 14
## Marked 22 6 28
## Sum 59 25 84
chisq.test(mytable)
## Warning in chisq.test(mytable): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: mytable
## X-squared = 4.8407, df = 2, p-value = 0.08889