Spreading a two column data frame with tidyr

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  3. R spreading multiple columns with tidyr [duplicate]
  4. dplyr summarise: Equivalent of “.drop=FALSE” to keep groups with zero length in output
  5. Using spread with duplicate identifiers for rows
  6. Proper idiom for adding zero count rows in tidyr/dplyr
  7. Add NAs to make all list elements equal length
  8. Reshape from long to wide and create columns with binary value
  9. adding default values to item x group pairs that don’t have a value (df %>% spread %>% gather seems strange)
  10. combine two data frames with all posible combinations
  11. Spread with duplicate identifiers (using tidyverse and %>%) [duplicate]
  12. How to replace all NA in a dataframe using tidyr::replace_na? [duplicate]
  13. tidyverse – prefered way to turn a named vector into a data.frame/tibble
  14. Unlisting columns by groups
  15. Is there a dplyr equivalent to data.table::rleid?
  16. Replace NA with previous or next value, by group, using dplyr
  17. Calculate group mean, sum, or other summary stats. and assign column to original data
  18. Rolling mean (moving average) by group/id with dplyr
  19. Count number of rows by group using dplyr
  20. Pass a vector of variable names to arrange() in dplyr
  21. Efficient way to filter one data frame by ranges in another
  22. How to complete missing factor levels in data frame?
  23. Calculate group mean while excluding current observation using dplyr
  24. Emulate split() with dplyr group_by: return a list of data frames
  25. Sparklyr: how to center a Spark table based on column?
  26. data.table equivalent of tidyr::complete()
  27. R: x ‘probs’ outside [0,1]
  28. R dplyr rowwise mean or min and other methods?
  29. Dealing with spaces and “weird” characters in column names with dplyr::rename()
  30. Filtering rows in R unexpectedly removes NAs when using subset or dplyr::filter

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