lapply function to create many plots in Ggplot - r

Question

I'm trying to plot the line graph for X=date Y=column which is XS1-XS10.
I use the lapply with a next function
plot_data_column = function (column) {
ggplot(data= excess_return, aes(y=column,x=date)) +
geom_line()+
geom_hline(yintercept = mean(excess_return$column), color="red")+
ggtitle(column)+
theme_minimal()
}
and then use lapply to plug in the columns of the dataset into the ggplot.
ggplots = lapply(excess_return[,1:10], plot_data_column)
My problem occurs with geom_hline which doesn't recognize the column and ggtitle(column).
P.s I have tried also like this
ggplots = lapply(colnames(excess_return[,1:10]), plot_data_column)
I wonder why R doesn't accept the XS1 as it were written manually by me?
because this code perfectly works.
ggplot(data= excess_return, aes(y=XS1,x=date)) +
geom_line()+
geom_hline(yintercept = mean(excess_return$XS1), color="red")+
theme_minimal()
The only thing what i want to is to iterate the XS1 to XS10.
Thank you for support

Answer 1

you can adapt this to your data strucutre:
plot_data_column = function (.data, .column) {
ggplot2::ggplot(data= .data, ggplot2::aes(y=!!dplyr::sym(.column),x = Petal.Width)) +
ggplot2::geom_line() +
ggplot2::geom_hline(yintercept = .data %>%
dplyr::pull(!!dplyr::sym(.column)) %>%
mean(),
color="red")+
ggplot2::ggtitle(.column) +
ggplot2::theme_minimal()
}
plots <- names(iris)[1:3] %>%
purrr::map(~plot_data_column(.data = iris, .column = .x))
You need to change the names(iris)[1:3] to your names names(excess_return)[1:10] and x = Petal.Width to x = date.

Answer 2

Another option:
library(tidyverse)
custom_ggplot_function <- function(var, var_name) {
ggplot(mtcars, aes(x = disp, y = var)) +
geom_line() +
geom_hline(yintercept = mean(var), color = "red") +
labs(y = var_name) +
ggtitle(var_name) +
theme_minimal()
}
mtcars %>%
select(mpg, cyl, disp) %>%
map2(.y = names(.), ~ custom_ggplot_function(.x, .y))