Week 3- r studio notes

Question 1

which code do you use to empty the R environment

Answer 1

rm(list=ls())

Question 2

what does head(mh) mean

Answer 2

used to display the first n rows present in the input data frame

Question 3

how would you calculate means and standard deviations for anxiety and engagement

Answer 3

descriptives <- mh %>%
summarise(mean_Abil = mean(Abil, na.rm = TRUE),
sd_Abil = sd(Abil, na.rm = TRUE),
mean_IQ = mean(IQ, na.rm = TRUE),
sd_IQ = sd(IQ, na.rm = TRUE))

Question 4

how do you build a regression model

Answer 4

mod <- lm(Abil ~ IQ, data = mh)
mod_summary <- summary(mod)
mod_summary

Question 5

how would you calculate the mean anxiety scores?

Answer 5

descriptives <- stars %>%
group_by(ID) %>%
summarise(mean_Score = mean(Score, na.rm = TRUE),
sd_Score = sd(Score, na.rm = TRUE))
view(descriptives)

Question 6

how do you join dataframes?

Answer 6

joined <-
stars %>% inner_join(psess)

Question 7

How to check the assumptions- what does each one mean

Answer 7

crPlots(mod) - to check linearity
qqPlot() to check normality of the residuals
residualPlot() to check homoscedasticity of the residuals