palmerpenguins | great intro dataset for data exploration | Dataset library

Here's a simple modelling workflow using the palmerpenguins dataset:

I am trying to create a table with descriptive statistics for the whole sample as well as subgroups. My goal is to use the wonderful modelsummary R package to return one table with mean, sd, min, median, max, and graphs for the variables calculated for the entire sample as well as mean and sd for every group. I was able to achieve this with two separate tables. However, I would like to have all this information in a single table with the statistics about the entire sample first (see Fig. 1) and the subgroups second (see Fig. 2). If possible, I would also like to add the first-level heading for the whole sample and name it "All" or "Entire sample." Lastly, given that journals in my field require the use of the APA style, I wonder if the table can be turned into this format (e.g., with all the required borders, text in black instead of grey, etc.) (see Fig. 3). If modelsummary does not handle this, I am also open to trying other packages. Thanks so much to anyone who will help!

I'm learning R through the Google Analytics Certification and I get stuck on the summary command in R. I'm using Rstudio for this.

We first load the palmerpenguins package and then have to enter the command summary(penguins). The problem is I keep getting an error message as follow:

I am new to programming and coding, trying to learn R in the Google course.

They have given several examples for visuals using the ggplot functions, but they have used the aes() in two ways.

First:

ggplot(data=palmerpenguins) + geom_point(mapping = aes(x = bill_length_mm,y = body_mass_g)) The aes() function is inside the geom_point() function.

Then they show: ggplot(data, aes(x=distance, y= dep_delay, color=carrier, size=air_time, shape = carrier)) + geom_point()

Now the aes() function is in the ggplot() function, where they specify the dataset.

What is the reason for the switch? It seems like aes() can go in either place. Is this true? For something that is so specific like coding, it's confusing why you could do it either way. Any explanation would be appreciated. Thanks

I am trying to add p-values to my boxplot using ggboxplpot, but it seems stat_compare_means() doesn't work when I have multiple y = values.

here is the sample code from palmerpenguin dataset

I am a beginner on mlr3 and am facing problems while running AutoFSelector learner associated to glmnet on a classification task containing >2000 numeric variables. I reproduce this error while using the simpler mlr3 predefined task Sonar. For note, I am using R version 4.1.2 (2021-11-01)on macOS Monterey 12.1. All required packages have been loaded on CRAN.

I feel like I am missing something easy. Fingers crossed thats it.

Im trying to produce tables using gtsummary and flextable in officedown. I'm using the yaml options from the "Advanced word document" template in officedown.

Below is my code. The first 2 tables have the captions underneath and the third is on top, as it should be!

I'm using kable to produce tables for an Rmarkdown PDF document. I want to highlight certain cells based on their value, and every other row has a stripe. The image below shows this, as well as the issue I'm having (taken from my Adobe PDF reader). As you can see, the highlight color in the middle row (for Chinstrap penguins) is not quite even with the other two. This is a small issue but is enough to make the table look a bit janky, so I'm hoping someone can help me find a fix, or at least explain the cause.

What's odd is that this issue seems to depend on which PDF reader I view the document in. The initial image came from Adobe, but when I open the file in SumatraPDF (the default viewer that my RStudio knits to) the highlighting is consistent for all rows (see next image). This behavior doesn't seem to depend on zoom level in the PDF viewer, but could be related to another setting I'm not aware of.

The issue itself seems to be caused by the light blue striping rather than the highlight itself, because when I remove the striping all three highlights are even in both PDF viewers. This behavior can also be demonstrated without the extra highlighting by instead adding cell borders to the table using column_spec(c(2:3), width = "2.1cm", border_right = T) as shown in the final image. In two of three rows, the 2nd column's right border is covered up by the striping (this also happens with the built-in striping feature in kableExtra). One interesting thing to note here is that this does seem to depend on PDF viewer zoom level. The image below came from Adobe at my default view (75.5), but when I change the zoom to between 100 and 200 all cell borders are correct, and then disappear again after that. My code is below, thanks for your help!

Reproducible Example

I am trying to put some graph modules inside another module. Not working at the moment though. I imagine that this isn't the way to do it. Any ideas on how it should be done?