clean.sd: A function to remove extreme RT
In EricMenetre/NPL: An incomplete toolkit for the researcher in NeuroPsychoLinguistic
Description
This function creates a new vector called clean.val containing the RT without the extremes values. Values are defined as extreme when higer than a certain number of standard deviations from the mean of each subject individually
Once the function finished running, simply attribute the clean.val vector to your data frame under the form: my_data$my_clean_RT_variable <- clean.val.
Usage
1
Arguments
df.var.val
Dataframe$column containing the RT
df.var.group
Dataframe$column containing the groupping variable for example the age groups. If your experiment does not include groups, set this argument to "none". Default is "none"
n.sd
Number of standard deviations above the mean where to cut
data
Name of the dataframe containing the data
fill
Value to replace the extreme values by. The default is NA
EricMenetre/NPL documentation built on June 23, 2021, 2:10 p.m.
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Description
This function creates a new vector called clean.val containing the RT without the extremes values. Values are defined as extreme when higer than a certain number of standard deviations from the mean of each subject individually Once the function finished running, simply attribute the clean.val vector to your data frame under the form: my_data$my_clean_RT_variable <- clean.val.
Usage
1 |
Arguments
df.var.val |
Dataframe$column containing the RT |
df.var.group |
Dataframe$column containing the groupping variable for example the age groups. If your experiment does not include groups, set this argument to "none". Default is "none" |
n.sd |
Number of standard deviations above the mean where to cut |
data |
Name of the dataframe containing the data |
fill |
Value to replace the extreme values by. The default is NA |
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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