experimental_results: Report the results of the experiment as well as confidence...
In optDesignSlopeInt: Optimal Designs for Estimating the Slope Divided by the Intercept
experimental_results R Documentation
Report the results of the experiment as well as confidence intervals.
Description
Report the results of the experiment as well as confidence intervals.
Usage
experimental_results(xs, ys, alpha = 0.05, B = 1000)
Arguments
xs
The design
ys
The measurements of the response
alpha
1 - alpha is the confidence of the computed intervals. Default is 0.05.
B
For the confidence interval methods with an embedded bootstrap (or resampling), the number
of resamples (defaults to 1000).
Value
A list object containing the estimate as well as confidence intervals and parameters.
Author(s)
Adam Kapelner
Examples
n = 10
xmin = 5 / 15
xmax = 19 / 1
xs = runif(n, xmin, xmax)
ys = 2 + 3 * xs + rnorm(n)
experimental_results_info = experimental_results(xs, ys)
optDesignSlopeInt documentation built on July 9, 2023, 6:43 p.m.
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| experimental_results | R Documentation |
Report the results of the experiment as well as confidence intervals.
Description
Report the results of the experiment as well as confidence intervals.
Usage
experimental_results(xs, ys, alpha = 0.05, B = 1000)
Arguments
xs |
The design |
ys |
The measurements of the response |
alpha |
|
B |
For the confidence interval methods with an embedded bootstrap (or resampling), the number
of resamples (defaults to |
Value
A list object containing the estimate as well as confidence intervals and parameters.
Author(s)
Adam Kapelner
Examples
n = 10
xmin = 5 / 15
xmax = 19 / 1
xs = runif(n, xmin, xmax)
ys = 2 + 3 * xs + rnorm(n)
experimental_results_info = experimental_results(xs, ys)
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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