intradaysd: Compute Intraday Standard Deviation
In cgmquantify: Analyzing Glucose and Glucose Variability
Description
Usage
Arguments
Value
Examples
Description
This function computes the intraday standard deviation summary statistics:
mean, median, standard deviation of all days in data
Usage
1
Arguments
df
Data frame read through readfile
Value
A data frame containing the mean, median, and standard deviation
of the intraday standard deviations.
Examples
1
2
3
mydatafile <- system.file("extdata", "my_data_file.csv", package = "cgmquantify")
mydata <- readfile(mydatafile)
intradaysd(mydata)
cgmquantify documentation built on Feb. 5, 2021, 9:06 a.m.
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Description Usage Arguments Value Examples
Description
This function computes the intraday standard deviation summary statistics: mean, median, standard deviation of all days in data
Usage
1 |
Arguments
df |
Data frame read through readfile |
Value
A data frame containing the mean, median, and standard deviation of the intraday standard deviations.
Examples
1 2 3 | mydatafile <- system.file("extdata", "my_data_file.csv", package = "cgmquantify")
mydata <- readfile(mydatafile)
intradaysd(mydata)
|
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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