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remove URL to plotmo
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R/partial.R

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@@ -39,7 +39,7 @@
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#' \strong{plotmo} package). If \code{TRUE}, then \code{partial()} will compute
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#' predictions across the predictors specified in \code{pred.var} while holding
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#' the other predictors constant (a "poor man's partial dependence" function as
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#' Stephen Milborrow, the author of \code{\link[plotmo]{plotmo}}, puts it).
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#' Stephen Milborrow, the author of \strong{plotmo} package), puts it).
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#' Default is \code{FALSE}. Note this works with \code{ice = TRUE} as well.
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#' WARNING: This option is currently experimental. Use at your own risk. It is
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#' possible (and arguably safer) to do this manually by passing a specific

man/partial.Rd

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slowtests/slowtests-rjournal.R

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@@ -29,7 +29,7 @@
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# Load required packages
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library(caret)
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library(doParallel)
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# library(dplyr) # use dplyr:: instead to avoid conflictions with plyr!
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# library(dplyr) # use dplyr:: instead to avoid conflicts with plyr!
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library(e1071)
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library(earth)
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library(ggplot2)
@@ -163,7 +163,7 @@ iris.svm <- svm(Species ~ ., data = iris, kernel = "radial", gamma = 0.75,
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pd <- NULL
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for (i in 1:3) {
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tmp <- partial(iris.svm, pred.var = c("Petal.Width", "Petal.Length"),
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which.class = i, progress = "text",
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which.class = i, progress = TRUE,
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grid.resolution = 101)
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pd <- rbind(pd, cbind(tmp, Species = levels(iris$Species)[i]))
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}

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