Filtering rows in R unexpectedly removes NAs when using subset or dplyr::filter

by

More Related Contents:

  1. dplyr – filter by group size
  2. R: How to filter/subset a sequence of dates
  3. Why is `[` better than `subset`?
  4. Filter rows which contain a certain string
  5. How to replace NA with mean by group / subset?
  6. How to delete rows from a dataframe that contain n*NA
  7. Subsetting R data frame results in mysterious NA rows
  8. Count non-NA values by group [duplicate]
  9. Subset of rows containing NA (missing) values in a chosen column of a data frame
  10. How to subset data in R without losing NA rows?
  11. Add a column with count of NAs and Mean
  12. How to filter data without losing NA rows using dplyr
  13. How to replace empty string with NA in R dataframe?
  14. Summarizing multiple columns with dplyr? [duplicate]
  15. Unique rows, considering two columns, in R, without order
  16. Use variable names in functions of dplyr
  17. How to interpret dplyr message `summarise()` regrouping output by ‘x’ (override with `.groups` argument)?
  18. Finding percentage in a sub-group using group_by and summarise
  19. Count NAs per row in dataframe [duplicate]
  20. filter for complete cases in data.frame using dplyr (case-wise deletion)
  21. dplyr filter with condition on multiple columns
  22. Remove groups with less than three unique observations
  23. How to filter rows based on difference in dates between rows in R?
  24. How to do range grouping on a column using dplyr?
  25. Performing dplyr mutate on subset of columns
  26. replace NA value with the group value
  27. Replace all NA with FALSE in selected columns in R
  28. grouped operations that result in length not equal to 1 or length of group in dplyr
  29. Create sequential counter that restarts on a condition within panel data groups [duplicate]
  30. How to find difference between values in two rows in an R dataframe using dplyr

Leave a Comment