问题
I have a dataset that looks like this:
ID created_at
MUM-0001 2014-04-16
MUM-0002 2014-01-14
MUM-0003 2014-04-17
MUM-0004 2014-04-12
MUM-0005 2014-04-18
MUM-0006 2014-04-17
I am trying to introduce new column that would be all dates between start date and defined last day (say, 12th-july-2015). I used seq function in dplyr
but getting an error.
data1 <- data1 %>%
arrange(ID) %>%
group_by(ID) %>%
mutate(date = seq(as.Date(created_at), as.Date('2015-07-12'), by= 1))
the error which I am getting is:
Error: incompatible size (453), expecting 1 (the group size) or 1
Can you please suggest some better way to perform this task in R ?
回答1:
You could use data.table
to get the sequence
of Dates from 'created_at' to '2015-07-12', grouped by the 'ID' column.
library(data.table)
setDT(df1)[, list(date=seq(created_at, as.Date('2015-07-12'), by='1 day')) , ID]
If you need an option with dplyr
, use do
library(dplyr)
df1 %>%
group_by(ID) %>%
do( data.frame(., Date= seq(.$created_at,
as.Date('2015-07-12'), by = '1 day')))
If you have duplicate IDs, then we may need to group by row_number()
df1 %>%
group_by(rn=row_number()) %>%
do(data.frame(ID= .$ID, Date= seq(.$created_at,
as.Date('2015-07-12'), by = '1 day'), stringsAsFactors=FALSE))
Update
Based on @Frank's commment, the new idiom for tidyverse
is
library(tidyverse)
df1 %>%
group_by(ID) %>%
mutate(d = list(seq(created_at, as.Date('2015-07-12'), by='1 day')), created_at = NULL) %>%
unnest()
In the case of data.table
setDT(df1)[, list(date=seq(created_at,
as.Date('2015-07-12'), by = '1 day')), by = 1:nrow(df1)]
data
df1 <- structure(list(ID = c("MUM-0001", "MUM-0002", "MUM-0003",
"MUM-0004",
"MUM-0005", "MUM-0006"), created_at = structure(c(16176, 16084,
16177, 16172, 16178, 16177), class = "Date")), .Names = c("ID",
"created_at"), row.names = c(NA, -6L), class = "data.frame")
来源:https://stackoverflow.com/questions/31873462/creating-sequence-of-dates-for-each-group-in-r