filter_qc | R Documentation |
filter_qc
returns an identical object as dplyr::filter
, except
that it automatically prints the number of cases (i.e., rows) that do not
meet the filter conditions and that were thus dropped.
filter_qc(.data, ..., .group_check = F)
.data |
A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details. |
... |
< |
.group_check |
a logical value, that when TRUE, will print a table with each group variable and columns called "n_rows_dropped" and "percent_dropped" that together indicate, for each group, how many row were dropped when performing filter. Default is FALSE, to avoid excess printing. If data is not grouped and .group_check = T, then an error is thrown. |
An object of the same class as .data
. This object will be
identical to that which is returned when running the standard
dplyr::filter
function.
There are _qc
versions of the scoped filter functions. See
filter_at_qc
, filter_all_qc
, or
filter_if_qc
.
filter
practice_data <-
data.frame(
A = 1:12,
B = 6:17,
C = 8:19,
G = c(rep(c("A", "B"), each = 6)),
stringsAsFactors = F
)
# Basic filtering
filter_qc(practice_data, A > 5)
filter_qc(practice_data, A > 5 & B > 8)
# With grouped data and setting .group_check = T, you can see how many rows
# were dropped per group. Note that this will print a large table if you have
# a lot of groups.
grouped_data <- group_by(practice_data, G)
filter_qc(grouped_data, A > 3, .group_check = T)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.