hornet | Hornet , a JVM optimized for low-latency applications | Runtime Evironment library

I have a list composed of several dataframes, and I want to iterate over the list and pull the ‘nth’ column of each dataframe, and group all these elements side by side on a dataframe.

Consider that I need to pull the second column this list:

I'm trying to get a rank for every column in a dataframe.

Ideal output (using mtcars as an example) would be as below but with the rank filled in for each column:

I can create ONE variable with all values = NA in a data frame like this:

This works:

My question is very similar to this one Hot to figure out which factor level has been mapped to which fill color on a barplot in R?. Now I'm struggling with similar problem, however in this case I have a discrete scale. My plot is like this:

I would like to make a custom function of this modified dplyr procedure:

randomly replacing percentage of values per group with NA in R dataframe

I am trying to remove the indention in the footnote section of a table created with kableExtra. I am assuming that the indention comes from the \item function that stands before the note begins (see latex output). Could anybody help to remove this indention resp. the \item prefix from the note?

Background: sfun is a function that mutates mtcars. sfun has a cyl arg which shares the same name as the cyl vector in mtcars.

Question: When sfun(cyl = "hp"), how can I enable str_glue() to distinguish the argument (cyl) from its value (hp)?

Has anyone written code to add a column to the psych::describe() output that identifies the statistical mode for each variable? Or, how would you go about achieving this?

For example, using the dataset mtcars, we can easily generate descriptive statistics for the data using the psych package, but the statistical mode is not included in the output.