How to convert monthly data as.date type variable in R?-CodePudding

I have monthly data and want to convert period columns as.date in r. In addition, rows are not ordered according to time in data frame

df <- data.frame (period  = c("March 2019", "February 2019", "January 2019", "May 2019","April 2019","August 2019","June 2019","July 2019","November 2019","September 2019","October 2019","December 2019"),sales  = rnorm(12))

           period        sales
1      March 2019  1.841711557
2   February 2019  0.403043685
3    January 2019  0.524417978
4        May 2019  0.236378511
5      April 2019 -0.099441313
6     August 2019  0.001731664
7       June 2019  0.792067260
8       July 2019 -0.352379347
9   November 2019  1.174681909
10 September 2019  0.075480279
11   October 2019 -0.258695621
12  December 2019 -1.775315927

CodePudding user response：

Using as.Date with appropriate format on pasted 1 to period, then order.

transform(dat, period=as.Date(paste(1, period), '%d %b %Y')) |>
  {\(.) .[order(.$period), ]}()
#        period      sales
# 1  2019-01-01 0.25542882
# 5  2019-02-01 0.11748736
# 10 2019-03-01 0.98889173
# 6  2019-04-01 0.47499708
# 2  2019-05-01 0.46229282
# 8  2019-06-01 0.90403139
# 12 2019-07-01 0.08243756
# 7  2019-08-01 0.56033275
# 4  2019-09-01 0.97822643
# 9  2019-10-01 0.13871017
# 11 2019-11-01 0.94666823
# 3  2019-12-01 0.94001452

Data:

set.seed(42)
dat <- data.frame(period=sample(paste(month.name, 2019)), 
                  sales=runif(12))