Hi all, below is the dataframe df. Can we filter it based on conditions. Like, if there are charaters in 3rd col and Null in 3rd col, those should be filtered
row col value
1 1 0 ID
2 1 1 12
3 1 2 12
4 1 3 4
5 1 4
Expected output
row col value
2 1 1 12
3 1 2 12
4 1 3 4
This can be easily accomplished by using the filter()
verb from dplyr
. You can read more about it here: https://dplyr.tidyverse.org/reference/filter.html
For pattern matching, you can use regular expressions (regex for short). Learn more about them here: https://regexone.com/
library(dplyr, warn.conflicts = FALSE)
#> Warning: package 'dplyr' was built under R version 3.6.3
library(stringr, warn.conflicts = FALSE)
df <- tribble(~ row, ~ col, ~ value,
1, 0, "ID",
1, 1, 12,
1, 2, 12,
1, 3, 4,
1, 4, NA)
filter(df, str_detect(value, "[0-9]+"))
#> # A tibble: 3 x 3
#> row col value
#> <dbl> <dbl> <chr>
#> 1 1 1 12
#> 2 1 2 12
#> 3 1 3 4
Created on 2020-03-30 by the reprex package (v0.3.0)
Thanks a lot.............
system
Closed
April 6, 2020, 1:03pm
4
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