placebo | You can add me to your Gemfile and hope something

I am learning about Dynamic Bayesian Network models using the R package bnlearn. To this end, I am following this paper where they impose certain constraints in the form of 6 layers (Table 1 in the paper):

I need to draw 3 way HTML tables with frequency and row percentages. I like gtsummary to draw 2 way HTML tables but do not know how to draw 3 way. So, I tried xtab but can't figure out how to add frequency and row-percentage in the same table. Please suggest me how to draw a nice HTML table with frequency and row percentages. Here is reproducible example.

I have been trying to come up to speed with golang in the last few days by Watching some of the videos for gopher. I’m having a hard time figuring out the function declarations and returns. I have read this https://www.tutorialspoint.com/go/go_functions.htm

And it seems straightforward however this example below confuses me.

For example in the stinger https://blog.golang.org/generate

It appears the reference level is selected as the first unique element of the categorical value. However, in my case, the reference is P (and not A).

I have an issue, or at least I'm not having the solution.

I'm getting some API calls via a map and I can console.log all results which is great, but the problem is that I want to combine all the results in one array.

I am able to read in a PubMed ID of a paper, and return a set of records about that paper using this code:

I do have a dataset with participant id and Gender. I want to randomly assign treatment and placebo to male and female participants separately (50% in treatment and 50% in placebo in both group) in the available dataset.

I am stuck on creating the right regular expression pattern that will split the content of my data frame columns without making me loose any of the elements. I have to use the separate() function from the tidyr package as this is part of a longer processing pipeline. Since I don't want to loose any of the elements in the string, I am developing a lookahead/lookbehind expression.

The strings that need to be split can follow one of the following patterns:

• only letters (e.g. 'abcd')
• letters-dash-numbers (e.g. 'abcd-123')
• letters-numbers (e.g. 'abcd1234')
  The column content should be split into 3 columns max, one column per group.

I would like to split every time the element changes, so after the letters and after the dash. There can be one or more letters, one or more numbers, but only ever one dash. Strings that only contain letters, don't need to be split.

Here is what I have tried:

[R newbie!]The title might give an impression of a redundant question; however, my research could not produce an answer; hence I am posting this. I have three data frames with dimensions [9,9] and I am looking forward to concatenate (i.e. paste, NOT merge/join/rbind/cbind) the three by columns to create a new data frame with dimensions [9,9].

The data frames are:

df1.