dplyr

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How can I calculate a group-level statistic omitting a given sub-group nested within the group?
user_68060510
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2
3
69
dplyr r
Join current and previous dataframes in nested tibble using lag() and mutate() to produce a new list-column
user_144237460
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1
1
70
tibble dplyr r nested
pivot_longer to combine groups of columns: Advanced pivoting
user_111560390
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2
4
267
dplyr pivot r
Reduce a function on a grouped column in mutate
user_161095410
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3
3
93
dplyr r
Split a column value into Multiple columns based on an ID in R
user_40601580
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1
4
542
data-transform dplyr multiple-columns r split
Rank subgroup by group (dplyr)
user_161095410
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4
3
229
dplyr r
Multiple bind_rows with R Dplyr
user_164334870
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3
3
103
dplyr bind r
refer to column name from variable in across in dplyr
user_10236450
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3
4
445
rlang dplyr r
Mutating dataframe in R in only certain cases
user_149807390
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1
1
90
dplyr negative-number dataframe r
Creating multiple new columns based on existing columns (dplyr)
user_118984470
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1
2
105
dplyr multiple-columns r
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