Complete a data frame with missing combinations of data
Turns implicit missing values into explicit missing values.
Analogous function for complete function in tidyr.
complete(.data, ..., fill = NA)
.data |
data.frame |
... |
Specification of columns to expand.The selection of columns is
supported by the flexible |
fill |
Atomic value to fill into the missing cell, default uses |
When the provided columns with addtion data are of different length, all the unique combinations would be returned. This operation should be used only on unique entries, and it will always returned the unique entries.
If you supply fill parameter, these values will also replace existing explicit missing values in the data set.
data.table
df <- data.table(
group = c(1:2, 1),
item_id = c(1:2, 2),
item_name = c("a", "b", "b"),
value1 = 1:3,
value2 = 4:6
)
df %>% complete(item_id,item_name)
df %>% complete(item_id,item_name,fill = 0)
df %>% complete("item")
df %>% complete(item_id=1:3)
df %>% complete(item_id=1:3,group=1:2)
df %>% complete(item_id=1:3,group=1:3,item_name=c("a","b","c"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.