I have a dataframe (df). I want to assign groups by comparing each row to the first row (as reference). The rules are:

df<-data.frame(a=c(1,2,3,4,5), b=c(2,3,4,5,6)) write.csv(df,”C:\Users\bubbles\Desktop\df.csv”) Say I have a new set of data and would like to add to the same CSV file, how should I go about it? df_new_data<-data.frame(a=c(1,2,3,4,5), b=c(2,3,4,5,6)) r dataframe

I have a dataframe with a list in one of the columns. The list has a code and a date. I want to transform this list into two columns, one with the code and the second one with the date.

I have a variable c, and I want it to represent either data frame a or b depending on a condition. But I end up with a list instead of a data frame in R. How do I create an ifelse statement that can switch between two data frames?

I have two dataframes (df1 and df2) with the same length of rows. I want to check if values in each column in df2 are contained in the column S in df1 for each row correspondingly, then sum up the matches for each column in df2. any helps are appreciated.

I currently need to create 26 new columns based on 26*2 other columns in my dataframe in R. I don’t think using mutate is an option because the function is a little bit complicated. An example dataframe with fewer columns is

In my data frame, I have 15 columns:

df <- data.frame(x=c(“a”,”b”,”c”), y = c(100,200,300)) v <- 1:4 I’m trying to add the vector v to a dataframe df such that each row of df is combined with each element of v x y v a 100 1 a 100 2 a 100 3 a 100 4 b 200 1 b 200 2 b […]

I am trying to join two data frames, by combining the id of a save with its related shot on goal id. There is a column in the saves data frame called related_events, which contains the shot on goal id, but can also contain ids of other relevant events. The related_events something like this:

It is possible to store the output of print.data.frame() in a string: