filter_blanks: Filter aggregated data to the most granular level
In amygoldlist/aggRviz: A package for dealing with data aggregated at many levels
Description
Usage
Arguments
Value
Examples
View source: R/filter_blanks.R
Description
Create a filtered dataframe with no blanks
If you want to only look at certain column (ie, allow blanks in other columns), specify these as features.
If you want to filter out something besides blanks, use the variable all_symbol.
So setting all_symbol = "chocolate" filters out any row containing chocolate in the features columns
Usage
1
filter_blanks(data, features = NULL, all_symbol = "")
Arguments
data
data.frame
features
vector
all_symbol
character
Value
data.frame
Examples
1
2
3
load("../example_data/yummy.Rda")
dat_2
filter_blanks(dat_2)
amygoldlist/aggRviz documentation built on May 16, 2019, 11:10 p.m.
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Description Usage Arguments Value Examples
View source: R/filter_blanks.R
Description
Create a filtered dataframe with no blanks If you want to only look at certain column (ie, allow blanks in other columns), specify these as features. If you want to filter out something besides blanks, use the variable all_symbol. So setting all_symbol = "chocolate" filters out any row containing chocolate in the features columns
Usage
1 | filter_blanks(data, features = NULL, all_symbol = "")
|
Arguments
data |
data.frame |
features |
vector |
all_symbol |
character |
Value
data.frame
Examples
1 2 3 | load("../example_data/yummy.Rda")
dat_2
filter_blanks(dat_2)
|
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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