# input data
dta <- read.table("C:/Users/USER/Desktop/verbalIQ.txt",header=T)
head (dta)
## school pupil viq language csize ses
## 1 1 17001 15.0 46 29 23
## 2 1 17002 14.5 45 29 10
## 3 1 17003 9.5 33 29 15
## 4 1 17004 11.0 46 29 23
## 5 1 17005 8.0 20 29 10
## 6 1 17006 9.5 30 29 10
# plot 131 school-level regression lines of language score against verbal IQ
library(tidyverse)
## -- Attaching packages ---------------- tidyverse 1.3.0 --
## √ ggplot2 3.3.2 √ purrr 0.3.4
## √ tibble 3.0.3 √ dplyr 1.0.2
## √ tidyr 1.1.2 √ stringr 1.4.0
## √ readr 1.3.1 √ forcats 0.5.0
## -- Conflicts ------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
ggplot(data=dta, aes(x=viq, y=language, group = school)) +
stat_smooth(method="lm",
formula= y ~ x,
se=F,
color="black",
linetype=2,
size=rel(.5)) +
labs(x="Verbal IQ",
y="language") +
theme_bw()

#