impute_w_mean_df: Imputes NA/missing values in a data frame with random values...
In kazeera/hourglass: This Package Provides Visualizations of Annotated Numeric Data
View source: R/impute_w_mean.R
impute_w_mean_df R Documentation
Imputes NA/missing values in a data frame with random values plus/minus the percent around the mean across rows/columns
Description
Imputes NA/missing values in a data frame with random values plus/minus the percent around the mean across rows/columns
Usage
impute_w_mean_df(df, row.or.col = 2, p = 5)
Arguments
df
Numeric data frame or matrix
row.or.col
Number indicating direction to apply function - either 1 (rows) or 2 (columns, default)
p
the percent around the mean, e.g. p=5%=5
Value
The input data frame with NAs imputed.
kazeera/hourglass documentation built on April 5, 2025, 7:18 a.m.
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View source: R/impute_w_mean.R
| impute_w_mean_df | R Documentation |
Imputes NA/missing values in a data frame with random values plus/minus the percent around the mean across rows/columns
Description
Imputes NA/missing values in a data frame with random values plus/minus the percent around the mean across rows/columns
Usage
impute_w_mean_df(df, row.or.col = 2, p = 5)
Arguments
df |
Numeric data frame or matrix |
row.or.col |
Number indicating direction to apply function - either 1 (rows) or 2 (columns, default) |
p |
the percent around the mean, e.g. p=5%=5 |
Value
The input data frame with NAs imputed.
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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