clmest: Compute Confidence Limits Based on One-Sample t-Test
In rpkyle/cscmisc: Miscellaneous Data Manipulation and Simulation Tools
Description
Usage
Arguments
Author(s)
References
Examples
Description
This function emulates the behaviour of SAS's MEANS procedure, when specifying CLM. This is a convenience
wrapper for the t.test function, primarily useful for plotting purposes.
Usage
1
clmest(datavec, conf.level = 0.95)
Arguments
datavec
Numeric. Vector of numeric values.
conf.level
Numeric. Confidence level required for t-test when estimating limits.
Author(s)
Ryan Kyle, ryan.kyle@mail.mcgill.ca
References
https://v8doc.sas.com/sashtml/proc/z0608466.htm
Examples
1
2
rpkyle/cscmisc documentation built on May 13, 2019, 12:06 p.m.
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Description Usage Arguments Author(s) References Examples
Description
This function emulates the behaviour of SAS's MEANS procedure, when specifying CLM. This is a convenience
wrapper for the t.test function, primarily useful for plotting purposes.
Usage
1 | clmest(datavec, conf.level = 0.95)
|
Arguments
datavec |
Numeric. Vector of numeric values. |
conf.level |
Numeric. Confidence level required for t-test when estimating limits. |
Author(s)
Ryan Kyle, ryan.kyle@mail.mcgill.ca
References
https://v8doc.sas.com/sashtml/proc/z0608466.htm
Examples
1 2 |
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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