FitLmIntercept: Fits linear model to logarithmic data and counts intersept...
In gimelbrantlab/ASE:
Description
Usage
Arguments
Value
Description
Fits linear model to logarithmic data and counts intersept for model with *1/2 restriction.
Usage
1
FitLmIntercept(inDf, binNObs, morethan = 10, logoutput = T)
Arguments
inDf
A dataframe-output of CreateObservedQuartilesDF().
morethan
Theshold on gene coverage for lm (default = 10).
logoutput
Return log intercept? (default = true)
N_obs_bin
Threshold on number of observations per bin.
Value
lm intercept or log2(lm intercept).
gimelbrantlab/ASE documentation built on March 1, 2020, 5:41 a.m.
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Description Usage Arguments Value
Description
Fits linear model to logarithmic data and counts intersept for model with *1/2 restriction.
Usage
1 | FitLmIntercept(inDf, binNObs, morethan = 10, logoutput = T)
|
Arguments
inDf |
A dataframe-output of CreateObservedQuartilesDF(). |
morethan |
Theshold on gene coverage for lm (default = 10). |
logoutput |
Return log intercept? (default = true) |
N_obs_bin |
Threshold on number of observations per bin. |
Value
lm intercept or log2(lm intercept).
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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