ztwo: A function to compute Z values when there are no covariates...
In clippda: A package for the clinical proteomic profiling data analysis
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
This function computes the effects of covariates (Z values) needed when designing a study
in simple cases where the only covariate available is the cancer class. The Z values
computed may, however, be used in more complex setups, when additional covariates are expected.
Usage
1
ztwo(x, y)
Arguments
x
expected proportion of cases
y
expected proportion of controls
Value
produces the Z value
Author(s)
Stephen Nyangoma
References
Nyangoma SO, Ferreira JA, Collins SI, Altman DG, Johnson PJ, and
Billingham LJ: Sample size calculations for planning clinical
proteomic profiling studies using mass spectrometry. (Working paper)
See Also
function ZvaluescasesVcontrolsPlots
Examples
1
2
x=1/3;y=1-x
ztwo(x,y)
clippda documentation built on Nov. 8, 2020, 8:13 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
This function computes the effects of covariates (Z values) needed when designing a study in simple cases where the only covariate available is the cancer class. The Z values computed may, however, be used in more complex setups, when additional covariates are expected.
Usage
1 | ztwo(x, y)
|
Arguments
x |
expected proportion of cases |
y |
expected proportion of controls |
Value
produces the Z value
Author(s)
Stephen Nyangoma
References
Nyangoma SO, Ferreira JA, Collins SI, Altman DG, Johnson PJ, and Billingham LJ: Sample size calculations for planning clinical proteomic profiling studies using mass spectrometry. (Working paper)
See Also
function ZvaluescasesVcontrolsPlots
Examples
1 2 | x=1/3;y=1-x
ztwo(x,y)
|
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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