I have a data frame in R with the week of the year that I would like to convert to a date. I know I have to pick a year and a day of the week so I am fixing those values at 2014 and 1. Converting this to a date seems simple:
as.Date(paste(2014,df$Week,1,sep=""),"%Y%U%u")
But this code only works if week is greater than 9. Week 1 - 9 returns NA. If I change the week to 01,02,03... it still returns NA.
Anyone see what I am missing?
as.Date
is calling the 1 to 9 as NA as it is expects two digits for the week number and can't properly parse it.
To fix it, add in some - to split things up:
as.Date(paste(2014, df$Week, 1, sep="-"), "%Y-%U-%u")
An alternative solution is to use date arithmetic from the lubridate
package:
lubridate::ymd( "2014-01-01" ) + lubridate::weeks( df$Week - 1 )
The -1
is necessary because 2014-01-01
is already week 1. In other words, we want:
df$Week == 1
to map to 2014-01-01
(which is ymd("2014-01-01") + weeks(1-1)
) df$Week == 2
to map to 2014-01-08
(which is ymd("2014-01-01") + weeks(2-1)
) Another alternative is to make sure that week numbers have two digits, which can be done using stringr::str_pad()
, which will add a pad="0"
to make sure there are width=2
digits:
year <- 2015
week <- 1
as.Date(paste(year, week, "1", sep=""), "%Y%U%u")
#> [1] NA
as.Date(paste(year, stringr::str_pad(week,width=2, pad="0"), "1", sep=""), "%Y%U%u")
#> [1] "2015-01-05"
as.Date(paste(year, week, "1", sep="-"), "%Y-%U-%u")
#> [1] "2015-01-05"
Created on 2021-04-19 by the reprex package (v1.0.0)
It will be like using 2nd year = (week-52), 3rd year = (week -104)...so on
for(i in 1:456548)
{
if (train[i,2] > 0 & train[i,2] <53)
{
train["weekdate"] <- as.Date(paste(2016, train$week, 1, sep="-"), "%Y-%U-%u")
}
if (train[i,2] > 52 & train[i,2] <105)
{
train["weekdate"] <- as.Date(paste(2017, (train$week-52), 1, sep="-"), "%Y-%U-%u")
}
if (train[i,2] > 104 & train[i,2] <150)
{
train["weekdate"] <- as.Date(paste(2018, (train$week-104), 1, sep="-"), "%Y-%U-%u")
}
}
Another option with lubridate
lubridate::parse_date_time(paste(2014, df$Week, 1, sep="/"),'Y/W/w')
W - week number, w - weekday number, 0-6 (Sun-Sat)
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