addnulldistdiffguard: Makes and rbinds a null distribution created by sampling...
In hamsamilton/cgms.analysis: Functions for CGMS analysis
Description
Usage
Arguments
Examples
View source: R/addnulldistdiffguard.R
View source: R/nulldists.R
View source: R/nulldistswip.R
Description
Makes and rbinds a null distribution created by sampling differences between points, then randomly adding them
to the mean glucose value of a cgms.df dataframe. This null distribution has "guard rails", meaning it can't got above or below the
max and min value of all glucose in the cgms.df object
Usage
1
Arguments
df
input cgms.df object
Examples
1
addnulldistdiffguard(cgms.df)
hamsamilton/cgms.analysis documentation built on March 29, 2020, 12:57 a.m.
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Description Usage Arguments Examples
View source: R/addnulldistdiffguard.R View source: R/nulldists.R View source: R/nulldistswip.R
Description
Makes and rbinds a null distribution created by sampling differences between points, then randomly adding them to the mean glucose value of a cgms.df dataframe. This null distribution has "guard rails", meaning it can't got above or below the max and min value of all glucose in the cgms.df object
Usage
1 |
Arguments
df |
input cgms.df object |
Examples
1 | addnulldistdiffguard(cgms.df)
|
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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