In elinw/lehmansociology: Tools for Sociology Students Using R

library('lehmansociology')
library("ggplot2")

This template shows you how to do descriptive statistics for interval variables. There are many ways to do each of these in R.

attach(addhealth)
#View(addhealth)

You can edit this template to use different data sets and different variables, as well as to select specific statistics. In real data analysis you would never run all of these statistics at once.

For this example we will use the variable radiohrs.

Introduction

Data Analysis

Our R code goes into the highlighted area below. In your document delete or comment statistics you do not want.

`````r

mean(tvhrs) median(tvhrs)

summary(tvhrs)

max(tvhrs) min(tvhrs) range(tvhrs) IQR(tvhrs)

Calculates the numbers associated to defined percentiles

quantile(tvhrs, c(.25, .5, .75, 1))

sd(tvhrs) var(tvhrs)

What is the average number of hours per week that adolescents in the sample spend watching tv?
Write a sentence interpreting the IQR for tvhrs.

Here we can ask for a histogram of tvhrs. Be sure to add accurate and descriptive labels for the axes and a title.
````r
ggplot(addhealth, aes(tvhrs)) + 
  geom_histogram(binwidth = 1, aes(  y=(..count..)/sum(..count..) * 100)) + 
  labs(y="Percent",     x=" ") +
  ggtitle("Fig 1 :")

Does the distribution of tvhrs appear to be symmetical, positively skewed, or negatively skewed?

elinw/lehmansociology documentation built on May 16, 2019, 3 a.m.