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I have a big dataframe with columns such as:
ID, time, OS, IP
Each row of that dataframe corresponds to one entry. Within that dataframe for some IDs several entries (rows) exist. I would like to get rid of those multiple rows (obviously the other attributes will differ for the same ID). Or put different: I only want one single entry (row) for each ID.
When I use unique on the ID column, I only receive the levels (or each unique ID), but I want to keep the other attributes as well.
I have tried to use apply(x,2,unique(data$ID)), but this does not work either.
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Remove Duplicate rows in R using Dplyr – distinct () function. Distinct function in R is used to remove duplicate rows in R using Dplyr package. Dplyr package in R is provided with distinct() function which eliminate duplicates rows with single variable or with multiple variable.
Select the range you want to remove duplicate rows. If you want to delete all duplicate rows in the worksheet, just hold down Ctrl + A key to select the entire sheet. 2. On Data tab, click Remove Duplicates in the Data Tools group.
So, how do you remove duplicate column names in R? The easiest way to remove repeated column names from a data frame is by using the duplicated() function. This function (together with the colnames() function) indicates for each column name if it appears more than once.
subset(data,!duplicated(data$ID))
Should do the trick
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