Programming with dplyr
Dr. Chester Ismay
Educator, Data Scientist, and R/Python Consultant
library(ggplot2) ggplot( world_bank_data, aes(x = infant_mortality_rate) ) +
geom_histogram(color = "white")
ggplot( world_bank_data, aes(x = infant_mortality_rate) ) + geom_histogram(color = "white") +
ggtitle("A histogram of infant_mortality_rate")
# Previous plot code
ggplot(world_bank_data, aes(x = infant_mortality_rate)) +
geom_histogram(color = "white") +
ggtitle("A histogram of infant_mortality_rate")
# Define a function my_histogram <- function(
df, x_var) {
ggplot(df, aes(x = x_var)) + geom_histogram(color = "white") + ggtitle(paste("A histogram of", x_var)) }
# First attempt at a function my_histogram <- function(df, x_var) { ggplot(df, aes(x = x_var)) + geom_histogram(color = "white") + ggtitle(paste("A histogram of", x_var)) }
# Call the function my_histogram(df = world_bank_data, x_var = infant_mortality_rate)
Error in paste("A histogram of", x_var) :
object 'infant_mortality_rate' not found
# First attempt at a function
my_histogram <- function(df, x_var) {
ggplot(df, aes(x = x_var)) +
geom_histogram(color = "white") +
ggtitle(paste("A histogram of", x_var))
}
# Making needed tweaks to stop error my_histogram <- function(df, x_var) { ggplot(df, aes(x = {{ x_var }})) +
geom_histogram(color = "white") + ggtitle(paste("A histogram of",
as_label(enquo(x_var))) }
# Defined function with rlang operators my_histogram <- function(df, x_var) { ggplot(df, aes(x = {{ x_var }})) + geom_histogram(color = "white") + ggtitle(paste( "A histogram of", as_label(enquo(x_var)) )) }
# Call the function with the pipe! world_bank_data %>% my_histogram(x_var = perc_rural_pop)
Programming with dplyr