Displaying 8 results from an estimated 8 matches for "traincolnum".
2020 Oct 23
5
How to shade area between lines in ggplot2
...)
df = data.frame(x = c(x1,x2), y=c(y1,y2),
z=c(rep(0, length(x1)), rep(1, length(x2))))
df$z = factor(c(rep(0, length(x1)), rep(1, length(x2))))
df[, "train"] <- ifelse(runif(nrow(df)) < 0.8, 1, 0)
trainset <- df[df$train == 1, ]
testset <- df[df$train == 0, ]
trainColNum <- grep("train", names(df))
trainset <- trainset[, -trainColNum]
testset <- testset[, -trainColNum]
head(trainset); str(df)
svm_model<- svm(z ~ .,
data = trainset,
type = "C-classification",
kernel = "linear"...
2020 Oct 23
0
How to shade area between lines in ggplot2
...me(x = c(x1,x2), y=c(y1,y2),
> z=c(rep(0, length(x1)), rep(1, length(x2)))) df$z =
factor(c(rep(0,
> length(x1)), rep(1, length(x2)))) df[, "train"] <- ifelse(runif(nrow(df))
< 0.8, 1, 0)
> trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ] trainColNum
<-
> grep("train", names(df)) trainset <- trainset[, -trainColNum] testset <-
testset[,
> -trainColNum] head(trainset); str(df)
>
> svm_model<- svm(z ~ .,
> data = trainset,
> type = "C-classification",
>...
2020 Oct 27
3
R for-loop to add layer to lattice plot
...frame(x = c(x1,x2), y=c(y1,y2),
z=c(rep(0, length(x1)), rep(1, length(x2))))
df$z = factor(c(rep(0, length(x1)), rep(1, length(x2))))
df[, "train"] <- ifelse(runif(nrow(df)) < 0.8, 1, 0)
trainset <- df[df$train == 1, ]
testset <- df[df$train == 0, ]
trainColNum <- grep("train", names(df))
trainset <- trainset[, -trainColNum]
testset <- testset[, -trainColNum]
svm_model <- svm(z ~ .,
data = trainset,
type = "C-classification",
kernel = "linear",...
2020 Oct 23
2
How to shade area between lines in ggplot2
...2),
> > z=c(rep(0, length(x1)), rep(1, length(x2)))) df$z =
> factor(c(rep(0,
> > length(x1)), rep(1, length(x2)))) df[, "train"] <- ifelse(runif(nrow(df))
> < 0.8, 1, 0)
> > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ] trainColNum
> <-
> > grep("train", names(df)) trainset <- trainset[, -trainColNum] testset <-
> testset[,
> > -trainColNum] head(trainset); str(df)
> >
> > svm_model<- svm(z ~ .,
> > data = trainset,
> > type = &quo...
2020 Oct 28
0
R for-loop to add layer to lattice plot
...,
> z=c(rep(0, length(x1)), rep(1, length(x2))))
> df$z = factor(c(rep(0, length(x1)), rep(1, length(x2))))
> df[, "train"] <- ifelse(runif(nrow(df)) < 0.8, 1, 0)
> trainset <- df[df$train == 1, ]
> testset <- df[df$train == 0, ]
> trainColNum <- grep("train", names(df))
> trainset <- trainset[, -trainColNum]
> testset <- testset[, -trainColNum]
> svm_model <- svm(z ~ .,
> data = trainset,
> type = "C-classification",
> kernel =...
2020 Oct 23
2
How to shade area between lines in ggplot2
...=
> > > factor(c(rep(0,
> > > > length(x1)), rep(1, length(x2)))) df[, "train"] <-
> > > > ifelse(runif(nrow(df))
> > > < 0.8, 1, 0)
> > > > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
> > > > trainColNum
> > > <-
> > > > grep("train", names(df)) trainset <- trainset[, -trainColNum]
> > > > testset <-
> > > testset[,
> > > > -trainColNum] head(trainset); str(df)
> > > >
> > > > svm_model<- svm(z ~ .,...
2020 Oct 23
0
How to shade area between lines in ggplot2
...)), rep(1, length(x2)))) df$z =
> > factor(c(rep(0,
> > > length(x1)), rep(1, length(x2)))) df[, "train"] <-
> > > ifelse(runif(nrow(df))
> > < 0.8, 1, 0)
> > > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
> > > trainColNum
> > <-
> > > grep("train", names(df)) trainset <- trainset[, -trainColNum]
> > > testset <-
> > testset[,
> > > -trainColNum] head(trainset); str(df)
> > >
> > > svm_model<- svm(z ~ .,
> > > data...
2020 Oct 26
0
How to shade area between lines in ggplot2
...(rep(0,
> > > > > length(x1)), rep(1, length(x2)))) df[, "train"] <-
> > > > > ifelse(runif(nrow(df))
> > > > < 0.8, 1, 0)
> > > > > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
> > > > > trainColNum
> > > > <-
> > > > > grep("train", names(df)) trainset <- trainset[, -trainColNum]
> > > > > testset <-
> > > > testset[,
> > > > > -trainColNum] head(trainset); str(df)
> > > > >
> > > &...