sd_split: Split Standard Deviation (error) columns
In lindseyboulet/fizzTulz: Physiology Analysis and Presentation Helper Functions
Description
Usage
Arguments
Details
Description
Function that splits standard deviation (error) values in a column into two
new positive and negative columns based on the mean variable value. Used to produce
upper or lower error bars on bar plot. Dataframe should contain unique mean
and sd columns with matching variable name prefix and differing only by suffix
"_mean" or "_sd" (or "_sem"). Note: If there are any unmatched mean and sd pairs
the function will fail.
Usage
1
Arguments
df
dataframe with mean and sd columns. Columns without proper suffix
("_mean" and "_sd" (or "_sem)) will be ignored.
Details
sd_split fizzTulz
lindseyboulet/fizzTulz documentation built on Jan. 2, 2021, 4:04 p.m.
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Description Usage Arguments Details
Description
Function that splits standard deviation (error) values in a column into two new positive and negative columns based on the mean variable value. Used to produce upper or lower error bars on bar plot. Dataframe should contain unique mean and sd columns with matching variable name prefix and differing only by suffix "_mean" or "_sd" (or "_sem"). Note: If there are any unmatched mean and sd pairs the function will fail.
Usage
1 |
Arguments
df |
dataframe with mean and sd columns. Columns without proper suffix ("_mean" and "_sd" (or "_sem)) will be ignored. |
Details
sd_split fizzTulz
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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