subset2 | Subset 2.x : MongoDB Document parser combinators and builders

I am trying to create a function to extraction of confidence intervals for 2 named variables of an 'area under the curve' estimate using the ci.auc() function from the pROC package, but it produces and error: Error in model.frame.default(formula = anchor, data = namedvar1, : 'data' must be a data.frame, environment, or list . How to can Ifix this? Is there a better way to specify which dataframe to draw the named variables from?

The original code works fine:

I have a dataframe df. I want to assign df[some_columns] = df[subset1] when df[id1] > df[id2] and otherwise df[some_columns] = df[subset2].

This seems so simple but the following code doesn't work:

I hope you are having a good day.

I'm trying to scrape Trustpilot-reviews in the sports-section.

I want four columns with number of reviews, trustscore, subcategories and companynames. There are 43 pages it should iterate over, with 20 companies in each page. After an iteration the data should be placed underneath the previous data. This can be cleaned up afterwards using filtering though. The important part, and what I suspect is my problem is getting everything put together at the end.

The code as-is produce the error "Error in .subset2(x, i, exact = exact) : subscript out of bounds"

If you know anything about this, some pointers on how the code can be corrected would be appreciated.

Here is the code I'm having trouble with:

I am trying to duplicate rows based on the value of a column. My dataframe (df) currently looks like:

And so on (there are 34 more columns which all need to be repeated) I want it to look like:

This a fairly large dataset of 1767 observations already, there are 190 'Species Name' and each one has been visited several hundred times.

I'm very new to R (and coding!) so everything is very 'trial and error'. I found a solution on Stack Overflow using "splitstackshape" but am getting the error

"Error in .subset2(x, i, exact = exact) : recursive indexing failed at level 2".

This is my code:

I have 2 Sets of data:

I have a list of dataframes, like this:

In a package I'm working on, I'm using environments to save and retrieve the labels of a dataframe.

In a magrittr pipeline, I want to save them in an environment variable which I would retrieve later.

However, I'm facing a problem: it seems as if the environment variables were not modified until the end of the pipeline.

Here is an example, with most of useful functions:

This example doesn't typecheck:

I have a dataset of 500 trials per participant that I want to sample from in various quantities (i.e. I want to sample the same number of trials from each participant) and then compute the mean for each participant. Instead of doing so, it is creating a file with a one mean for each participant separately for each "num", e.g. if the mean for participant 1 with 125 trials is 426 that will be the whole file, then another file for participant 1 with 150 trials with a single value, and that is what happens for all participants. I was aiming for a single file for 125 with the means for all participants, then another file with the means for 150, etc.