cs_filter_count: Remove Negative Counts
In compstatr: Tools for St. Louis Crime Data
Description
Usage
Arguments
Value
Examples
Description
Removes the row that contains -1 in a specified column, indicating that the
charge described in that observation has either been deemed unfounded or has been
up-coded. For example, a victim of an aggravated assault dies, and the charge is changed
to homicide.
Usage
1
cs_filter_count(.data, var)
Arguments
.data
A tibble or data frame
var
the name of the column
Value
A subset object with rows containing -1 removed
Examples
1
2
3
4
5
# load example data
testData <- january2018
# subset data to remove negative counts
testData <- cs_filter_count(testData, var = count)
compstatr documentation built on July 8, 2020, 7:34 p.m.
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Description Usage Arguments Value Examples
Description
Removes the row that contains -1 in a specified column, indicating that the
charge described in that observation has either been deemed unfounded or has been
up-coded. For example, a victim of an aggravated assault dies, and the charge is changed
to homicide.
Usage
1 | cs_filter_count(.data, var)
|
Arguments
.data |
A tibble or data frame |
var |
the name of the column |
Value
A subset object with rows containing -1 removed
Examples
1 2 3 4 5 | # load example data
testData <- january2018
# subset data to remove negative counts
testData <- cs_filter_count(testData, var = count)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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