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Asked: 2026-05-22T01:58:30+00:00

As you can see from the dataframe below, RBloomberg returns NAs for weekend dates.

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As you can see from the dataframe below, RBloomberg returns NAs for weekend dates.

I want to remove the entire row if it falls on a weekend. How would I do this?

I don’t want to use the na.omit as this might remove weekday rows if/when I get an NA there in the data for a legitimate reason. 

   ticker       date yld_ytm_mid
1    R206 2011-05-11       6.946
2    R206 2011-05-12       6.969
3    R206 2011-05-13       7.071
4    R206 2011-05-14          NA
5    R206 2011-05-15          NA
6    R201 2011-05-11       7.201
7    R201 2011-05-12       7.213
8    R201 2011-05-13       7.323
9    R201 2011-05-14          NA
10   R201 2011-05-15          NA
11   R157 2011-05-11       7.611
12   R157 2011-05-12       7.622
13   R157 2011-05-13       7.718
14   R157 2011-05-14          NA
15   R157 2011-05-15          NA
16   R203 2011-05-11       8.165
17   R203 2011-05-12       8.170
18   R203 2011-05-13       8.279
19   R203 2011-05-14          NA
20   R203 2011-05-15          NA
21   R204 2011-05-11       8.303
22   R204 2011-05-12       8.296
23   R204 2011-05-13       8.386
24   R204 2011-05-14          NA
25   R204 2011-05-15          NA
26   R207 2011-05-11       8.361
27   R207 2011-05-12       8.371
28   R207 2011-05-13       8.479
29   R207 2011-05-14          NA
30   R207 2011-05-15          NA
31   R208 2011-05-11       8.392
32   R208 2011-05-12       8.393
33   R208 2011-05-13       8.514
34   R208 2011-05-14          NA
35   R208 2011-05-15          NA
36   R186 2011-05-11       8.546
37   R186 2011-05-12       8.571
38   R186 2011-05-13       8.664
39   R186 2011-05-14          NA
40   R186 2011-05-15          NA
41   R213 2011-05-11       8.783
42   R213 2011-05-12       8.802
43   R213 2011-05-13       8.898
44   R213 2011-05-14          NA
45   R213 2011-05-15          NA
46   R209 2011-05-11       8.785
47   R209 2011-05-12       8.807
48   R209 2011-05-13       8.898
49   R209 2011-05-14          NA
50   R209 2011-05-15          NA
51   R214 2011-05-11       8.841
52   R214 2011-05-12       8.861
53   R214 2011-05-13       8.958
54   R214 2011-05-14          NA
55   R214 2011-05-15          NA
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1 Answer

  1. Editorial Team

    Convert the date column to a POSIXlt ,eg

    date <- as.POSIXlt(date,format="%Y-%m-%d")

    Then you can access the day of the week using

    date$wday

    and subset the frame appropriately

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