remove_save: Remove outliers/bad subjects
In dr-JT/datawrangling: Common functions for transforming, merging, binding, evaluating, and re-organizing dataframes
remove_save R Documentation
Remove outliers/bad subjects
Description
This function takes as import two dataframes. The first dataframe is the original dataframe containing all IDs,
The second dataframe contains only those IDs to be removed.
Usage
remove_save(x, remove, output.dir = NULL, output.file = NULL, id = "Subject")
Arguments
x
dataframe
remove
the dataframe that contains subjects to be removed
id
Column name containing Subject IDs.
output
folder directory path to save removed data
Examples
remove_save(data, remove = data_remove, save = "data/remove", taskname = "Flanker")
dr-JT/datawrangling documentation built on June 25, 2022, 7:47 p.m.
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.
| remove_save | R Documentation |
Remove outliers/bad subjects
Description
This function takes as import two dataframes. The first dataframe is the original dataframe containing all IDs, The second dataframe contains only those IDs to be removed.
Usage
remove_save(x, remove, output.dir = NULL, output.file = NULL, id = "Subject")
Arguments
x |
dataframe |
remove |
the dataframe that contains subjects to be removed |
id |
Column name containing Subject IDs. |
output |
folder directory path to save removed data |
Examples
remove_save(data, remove = data_remove, save = "data/remove", taskname = "Flanker")
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.