Interpolate zero values only if one zero and surrounding values are bigger than zero...

Find the minimum non-missing date among dates in a row in R?...

Mutate in dplyr / purrr using an external table / dataframe...

I would like to identify the primary administrative unit from the latitude and longitude coded in th...

Convert a dataframe where each row has categorical data into a new dataframe with each category repr...

Conditional filtering of dataframe in R...

Wide format data by pasting two sets of variables into one in R...

Using across function in R...

Rowwise averaging in Dlyr in R with multiple grouping categories...

Applying dtplyr directly to a data.table instead of a lazy_dt...

Summary statistics for different levels of group_by()...

arrange data frame on variable name multiplied by a column...

How to set the row names of a data frame passed on with the pipe %>% operator?...

How to remove all rows where at least one column does not have a value of 1?...

R and dplyr it's not recognizing a variable and realizing the condition...

drop unused levels for all variables in a data frame using dplyr...

In R create a new column from a column using the function case_when() with multiple conditional rule...

How to collect data from future dplyr query after one fails?...

R filter out rows based on value in different row...

Differences between manually and ggplot-calculated boxplot statistics / outlier elimination...

Grouping sports data in a dataframe and aggregating it into a new table in R...

How do I select a respondent's value if conditions are met by row?...

How can I convert two summarized columns to two columns with a binary response in R?...

Is there an elegant way to handle changing number of rows within tidyverse?...

how to transform a string into a factor and sets contrasts using dplyr/magrittr piping...

Problem using select and filter when used in purrr::compose with purrr::partial in R...

Subset data into analysis and assessment data to generate and apply grouped prediction models in R...

Merging three dataframe results in error: Can't join due to incompatible types (list / integer) ...

How can I retain only the most complete information rows per group in a dplyr pipe statement?...

Move any row to bottom of dataframe based on row index in pipe...