Load the data into R. We will use Table 1 from Section 2.1.
Table1 <- read.csv("https://sullystats.github.io/Stats7e/Data/Ch2/Table1.csv")
## If using Stats6e:
## Table1 <- read.csv("https://sullystats.github.io/Statistics6e/Data/Chapter2/Table1.csv")
head(Table1,n=4)
## Location
## 1 Back
## 2 Wrist
## 3 Elbow
## 4 Back
If you have not done so already, install the Mosaic package.
install.packages("mosaic")
First, we will find the frequency distribution. The syntax in Mosaic is
tally(~var_name,data=df_name)
library(mosaic)
tally(~Location,data=Table1)
## Location
## Back Elbow Groin Hand Hip Knee Neck Shoulder
## 12 1 1 2 2 5 1 4
## Wrist
## 2
To get a relative frequency distribution add the command format=“proportion”.
tally(~Location,format="proportion",data=Table1)
## Location
## Back Elbow Groin Hand Hip Knee Neck
## 0.40000000 0.03333333 0.03333333 0.06666667 0.06666667 0.16666667 0.03333333
## Shoulder Wrist
## 0.13333333 0.06666667