If I change dplyr::rename(Kurtosis=Amount) %>% to dplyr::rename(Amount=Kurtosis) %>% I get: ! Can't rename columns that don't exist.Īny suggestions on how to modify the above would be appreciated. This function replaces character values with new character values, which is useful when performing rename operations when values are held in character vectors. Personally, this is my favourite function in R as I hate captials. Caused by error in `kurtosis()`: ! object 'Amount' not found The rename() function allows us to simply rename a column name within our data frame. i The error occurred in group 1: Year = 2018, YTD_Range = " to ". ! Problem while computing `Amount = kurtosis(Amount)`. dt > rename (Time1 TIME1COMPOSITE, Time2. ) Another method using the tidy format would be to use the rename () function (from dplyr). colnames (dt) <- c ('colname1','colname2'. Library(ggplot2) library(scales) library(readr) library(moments) #needed to calculate skewness and kurtosis xmas_df % dplyr::rename(Kurtosis=Amount) %>% group_by(Year, YTD_Range) %>% summarise(Amount = kurtosis(Amount)) df <- rename(df, newname oldname) For renaming dataframe column. The easiest method with the code you suggested have would be to change the column names at the beginning using the colnames () function. I need to rename the column labelled "Amount" with "Kurtosis" in a dataframe in R and cannot find the correct way to do this. Establishing crisp, clear column names is essential to keeping a large statistics project organized, especially if you are using a.
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