I have a large dataset (df), which looks something like this (simplified to not include all bioclimatic variables, but just imagine six columns rather than two beginning with “bio”):

I am a really new R programming user and I am trying to figure this problem out. I am trying to use a loop to go through a list of tables that I imported and am trying to clean. I am trying to set 4 of the columns to as.numeric() because when the data was in .csv format some of the cells were in as character format. I have tried to look up the error itself which is the following:

I am a really new R programming user and I am trying to figure this problem out. I am trying to use a loop to go through a list of tables that I imported and am trying to clean. I am trying to set 4 of the columns to as.numeric() because when the data was in .csv format some of the cells were in as character format. I have tried to look up the error itself which is the following:

I have a behavioral ethogram dataframe which has Observation ID (file numbers 1-112), Behavior, Behavior type (point/ state event) and time of occurrence (values from 0 to 60 seconds) see below

i have a dataset that contains column for ID and one for their URL to download, each ID has 2 URLS,
i want to download each two URLS and convert them to one PDF file named with their ID.
i want one PDF for each ID.

I am working on a project to compile information from hundreds of email campaigns into one dataset. The platform we use makes us export the data for each action into separate CSVs, and there are three actions we are interested in, meaning we have three CSVs for each campaign. Here’s an example with the naming convention:

I have around 30 dataframes with varying number of samples, but same metadata columns. For example, the columns are Sample ID,Date of collection,Place of collection,Days since sample collection to mention a few.

Using R Language