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Nested ifelse in mutate produce the wrong output...

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convert column into new column with parentheses around each item in list (for each row) in R...

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r long to wide time series data with start and stop time columns...

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Creating groups based on values in multiple columns in R...

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add a new column based on conditions on multiple columns in R...

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Rs mutate() and grepl() in Python...

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Remove lowest values in a Row...

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Calculation using if_else statement...

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I want to use a previously created function in the mutate() function. Yet R doesn't seem to want...

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add a categorical variable to data frame based on fixed rows order in r...

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Modifying a string using dplyr mutate() is returning the same value for all rows...

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Add file name as a column in each dataframe in a list...

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R: Sum two columns from different time series data frames of unequal length, indexing by timeStamp...

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Trying to find conditional code that subtracts value from one variable from value in another variabl...

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Create a new variable of concatenated values of other columns using dplyr::mutate and a vector of ch...

rdplyrtidyversemutate

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Using mutate and case_when to replace strings...

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Creating new column with values based on old columns including NA...

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If string detected in df, create new column with replacement string + R + dplyr...

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Using group_by() to collapse a dataset in R based on conditions...

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Filling a column with conditions and formulas...

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tidyr mutate new column based on group by with calculation...

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Formatting date column with different formats (including missing day information) - lubridate...

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combine redundant row items in r...

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mutate and if_any with condition over multiple columns...

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Modify data frame with condition based on another data frame in R...

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