Week 1- r-studio notes

Question 1

library(broom)

Answer 1

Makes analysis tidier and easier to work with

Question 2

how do you read in data with ‘millerhadendata.csv’

Answer 2

mh <- read_csv (‘millerhadendata.csv’)

Question 3

what does ggplot(mh,aes(x=Abil, y=IQ)) mean?

Answer 3

ggplot- telling r to create graphics
aes- aesthetics (what you want to plot)

Question 4

what is geom(point)

Answer 4

plotting points on the graph

Question 5

what does geom_smooth(method = ‘lm’, se = FALSE) mean

Answer 5

geom_smooth- adds a trend line over an existing plot (line of best fit)
lm = linear models
se = standard error

Question 6

How would you conduct a correlation analysis using Pearsons R

Answer 6

results<- cor.test(mh$Abil,
mh$IQ,
method = ‘pearson’
alternative= ‘two.sided’ %>%
tidy()

Question 7

what do you need to include when looking at the results of a pearsons R

Answer 7

in results section…
estimate = pearsons
p.value = pvalue
parameter = degrees of freedom

Question 8

how do you report results for a pearsons r

Answer 8

r <- results %>%
pull(estimate) %>%
round(2)

Question 9

how do you report results for degrees of freedom

Answer 9

df <- results %>%
pull(parameter)