psyteachr_fqa Ch. 15

filter()

{dplyr}

keep rows based on values of columns

ggplot()

{ggplot2}

create a plotting area

round()

{base}

round values to specified number of digits

sd()

{stats}

compute standard deviation

geom_point()

{ggplot2}

add layer of points to plot

mutate()

{dplyr}

create or modify data columns

summary()

{base}

return summary of model fitting functions

pivot_longer()

{tidyr}

pivot data frame to be longer

labs()

{ggplot2}

modify axis, legend, and plot labels

lm()

{stats}

fit linear model

library()

{base}

load R packages

count()

{dplyr}

count unique values of variables

group_by()

{dplyr}

group data by levels of column

read_csv()

{readr}

read comma delimited files

mean()

{base}

calculate mean of elements of vector

geom_smooth()

{ggplot2}

create smoothed lines to plot

aes()

{ggplot2}

create aesthetic mappings between data and plot

The end!