generate_experiment: Generate a Data Frame with Basic Experimental Data
In mike-decarlo/caser: Streamlined Solutions for Sampling and Subsetting in R
View source: R/generate_experiment.R
generate_experiment R Documentation
Generate a Data Frame with Basic Experimental Data
Description
generate_experiment takes two arguments, n is the number
of experimental observations, and threshold is the success/failure
threshold level
Usage
generate_experiment(n = 1000, threshold = 0.01)
Arguments
n
a numeric, integer value indicating the number of observations in
the experiment
threshold
a numeric, float value indicating the threshold cutoff
where a value less than or equal to the threshold is considered a success
(TRUE) and a value greater than the cutoff is a failure (FALSE)
mike-decarlo/caser documentation built on March 14, 2023, 9:54 a.m.
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View source: R/generate_experiment.R
| generate_experiment | R Documentation |
Generate a Data Frame with Basic Experimental Data
Description
generate_experiment takes two arguments, n is the number
of experimental observations, and threshold is the success/failure
threshold level
Usage
generate_experiment(n = 1000, threshold = 0.01)
Arguments
n |
a numeric, integer value indicating the number of observations in the experiment |
threshold |
a numeric, float value indicating the threshold cutoff where a value less than or equal to the threshold is considered a success (TRUE) and a value greater than the cutoff is a failure (FALSE) |
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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