spread.boot: bootstrap spread scores across several runs of the ctree...
In ConvergenceDA/visdom: R package for energy data analytics
Description
This function repeatedly randomly sub-samples the passed data.frame to provide points for classificaiton
by the passed ctree model and calculates the resulting spread score for classifications of each subset
and returns a vector of the resulting scores. It is useful for determining the robustness of the spread score
for a particular data set.
Usage
1
spread.boot(df, df.ct, nRun = 100, nSample = NULL, responseVar, ignoreCols)
Arguments
df
data.frame with response variable to be explained and all explanatory variables to be used in ctree classificaiton
df.ct
ctree already trained on data, that is used to classify the data points in each sub sample.
nRun
number of bootstrapping runs to perform
nSample
number of samples (with replacement) for each run
responseVar
the name of the variable that the ctree is trying to explain
ignoreCols
an optional list of columns in df, but that should be excluded from the ctree modeling
ConvergenceDA/visdom documentation built on May 6, 2019, 12:51 p.m.
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Description
This function repeatedly randomly sub-samples the passed data.frame to provide points for classificaiton by the passed ctree model and calculates the resulting spread score for classifications of each subset and returns a vector of the resulting scores. It is useful for determining the robustness of the spread score for a particular data set.
Usage
1 | spread.boot(df, df.ct, nRun = 100, nSample = NULL, responseVar, ignoreCols)
|
Arguments
df |
data.frame with response variable to be explained and all explanatory variables to be used in ctree classificaiton |
df.ct |
ctree already trained on data, that is used to classify the data points in each sub sample. |
nRun |
number of bootstrapping runs to perform |
nSample |
number of samples (with replacement) for each run |
responseVar |
the name of the variable that the ctree is trying to explain |
ignoreCols |
an optional list of columns in df, but that should be excluded from the ctree modeling |
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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