How to plot specific columns in multiple dataframes in a list?

Question

Sorry for this basic question. I thought I'd be able to solve this but I really could not figure out the syntax. I am quite new to R. Hopefully someone could explain to me how to do this.

I have a list of data frames with data and I wish to plot them.

df_list <- list(
  `1.3.A` = 
    tibble::tribble(
      ~Person, ~Height, ~Weight,
      "Alex",    175L,     75L,
      "Gerard",    180L,     85L,
      "Clyde",    179L,     79L
    ),
  `2.2.A` = 
    tibble::tribble(
      ~Person, ~Height, ~Weight,
      "Missy",    175L,     75L,
      "Britany",    180L,     85L,
      "Sussie",    179L,     79L
    ), 
  `1.1.B` = 
    tibble::tribble(
      ~Person, ~Height, ~Weight,
      "Luke",    175L,     75L,
      "Alex",    180L,     85L,
      "Haley",    179L,     79L
    )
)

Is there a way to plot the Height and Weight columns using ggdensity(). I am trying to make multiple density plots of each columns (Height and Weight) of each data frames but failed to do it.

Some codes I tried:

make_hist <- function(x){
  ggdensity(data, x)
}
plots <- lapply(df_list, make_hist)

r <- lapply(df_list, function(x) {
  ggdensity(data, x)

I even tried using imap but could not figure out the proper syntax for ggdensity and wrap it with imap() function or lapply().

Really sorry for this basic question and I hope someone could explain me the answer.

A density plot is a univariate plot. What do you mean when you say you want to make a density plot using height and height exactly? How many plots are you expecting in the output? — MrFlick
– MrFlick, Commented Aug 19, 2021 at 17:36
according to ggdensity() documentation, it should be the dataframe. — Tyler Ruddenfort
– Tyler Ruddenfort, Commented Aug 19, 2021 at 17:36
@MrFlick, I am trying to make 6 different plots, 2 for each data frame in the list — Tyler Ruddenfort
– Tyler Ruddenfort, Commented Aug 19, 2021 at 17:37

akrun · Accepted Answer · 2021-08-19 18:44:21Z

2

We can loop over the 'df_list', create the density plots for both 'Height' and 'Weight', then flatten the nested list (do.call(c) and use ggarrange to plot the elements in the list by specifying the nrow and ncol

library(ggpubr)
plots <- lapply(df_list, function(x) ggdensity(x, c("Height", "Weight")))
plots1 <- do.call(c, plots)
ggarrange(plotlist = plots1, nrow = 3, ncol = 2)

-output

edited Aug 19, 2021 at 18:44

answered Aug 19, 2021 at 17:35

akrun

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2 Comments

Tyler Ruddenfort Over a year ago

This is amazing! So every time I want to run a function, I just need to bind the column names?

akrun Over a year ago

The x is variable to be drawn. which can be a single column name or a vector of ones, whereas the y is by default ..density..

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