make.pred.df.from.glm: Create a Data Frame of Predictions for ChIPseq Data Using a...
In PriceLab/FPML: Footprint Machine Learning
Description
Usage
Arguments
Value
Description
Given a linear model and a data frame containing labeled predictors of test data and the actual
responses as the "ChIPseq.bound" column, predict the responses and return a data frame of the
actual responses, the predicted responses, and the model name
Usage
1
make.pred.df.from.glm(glm.model, df.testdata)
Arguments
glm.model
A generalized linear model that corresponds to the supplied data
df.testdata
A data frame containing test data. It must include columns for all the
predictors, plus the actual response as the column "ChIPseq.bound"
Value
A data frame containing the actual response, the predicted response, and the name of the
supplied model
PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.
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Description Usage Arguments Value
Description
Given a linear model and a data frame containing labeled predictors of test data and the actual responses as the "ChIPseq.bound" column, predict the responses and return a data frame of the actual responses, the predicted responses, and the model name
Usage
1 | make.pred.df.from.glm(glm.model, df.testdata)
|
Arguments
glm.model |
A generalized linear model that corresponds to the supplied data |
df.testdata |
A data frame containing test data. It must include columns for all the predictors, plus the actual response as the column "ChIPseq.bound" |
Value
A data frame containing the actual response, the predicted response, and the name of the supplied model
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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