6 files changed, 14 insertions, 0 deletions
diff --git a/man/coef.gensvm.grid.Rd b/man/coef.gensvm.grid.Rd
index 744809f..48cf48d 100644
--- a/man/coef.gensvm.grid.Rd
+++ b/man/coef.gensvm.grid.Rd
@@ -18,11 +18,13 @@ The parameter grid of the GenSVMGrid object as a data frame.
 Returns the parameter grid of a \code{gensvm.grid} object.
 }
 \examples{
+\dontrun{
 x <- iris[, -5]
 y <- iris[, 5]
 
 grid <- gensvm.grid(x, y)
 pg <- coef(grid)
+}
 
 }
 \references{
diff --git a/man/gensvm.grid.Rd b/man/gensvm.grid.Rd
index 147c044..a19b631 100644
--- a/man/gensvm.grid.Rd
+++ b/man/gensvm.grid.Rd
@@ -131,8 +131,10 @@ be the same as the param.grid in the input.
 x <- iris[, -5]
 y <- iris[, 5]
 
+\dontrun{
 # use the default parameter grid
 grid <- gensvm.grid(x, y, verbose=TRUE)
+}
 
 # use a smaller parameter grid
 pg <- expand.grid(p=c(1.0, 1.5, 2.0), kappa=c(-0.9, 1.0), epsilon=c(1e-3))
@@ -141,6 +143,7 @@ grid <- gensvm.grid(x, y, param.grid=pg)
 # print the result
 print(grid)
 
+\dontrun{
 # Using a custom scoring function (accuracy as percentage)
 acc.pct <- function(yt, yp) { return (100 * sum(yt == yp) / length(yt)) }
 grid <- gensvm.grid(x, y, scoring=acc.pct)
@@ -149,6 +152,7 @@ grid <- gensvm.grid(x, y, scoring=acc.pct)
 pg <- expand.grid(kernel=c('rbf'), gamma=c(1e-2, 1e-1, 1, 1e1, 1e2),
                   lambda=c(1e-8, 1e-6), max.iter=c(5000))
 grid <- gensvm.grid(x, y, param.grid=pg, verbose=2)
+}
 
 }
 \references{
diff --git a/man/gensvm.refit.Rd b/man/gensvm.refit.Rd
index cae0646..aa260ca 100644
--- a/man/gensvm.refit.Rd
+++ b/man/gensvm.refit.Rd
@@ -73,9 +73,11 @@ y <- iris[, 5]
 fit <- gensvm(x, y)
 fit2 <- gensvm.refit(fit, x, y, epsilon=1e-8)
 
+\dontrun{
 # refit a model returned by a grid search
 grid <- gensvm.grid(x, y)
 fit <- gensvm.refit(fit, x, y, epsilon=1e-8)
+}
 
 # refit on different data
 idx <- runif(nrow(x)) > 0.5
diff --git a/man/plot.gensvm.grid.Rd b/man/plot.gensvm.grid.Rd
index f23abda..a3aa4d9 100644
--- a/man/plot.gensvm.grid.Rd
+++ b/man/plot.gensvm.grid.Rd
@@ -20,11 +20,13 @@ model in the provided GenSVMGrid object. See the documentation for
 \code{\link{plot.gensvm}} for more information.
 }
 \examples{
+\dontrun{
 x <- iris[, -5]
 y <- iris[, 5]
 
 grid <- gensvm.grid(x, y)
 plot(grid, x)
+}
 
 }
 \references{
diff --git a/man/predict.gensvm.grid.Rd b/man/predict.gensvm.grid.Rd
index 0c3cf2f..a61362e 100644
--- a/man/predict.gensvm.grid.Rd
+++ b/man/predict.gensvm.grid.Rd
@@ -27,6 +27,7 @@ this model is only available if \code{refit=TRUE} was specified in the
 \code{\link{gensvm.grid}} call (the default).
 }
 \examples{
+\dontrun{
 x <- iris[, -5]
 y <- iris[, 5]
 
@@ -35,6 +36,7 @@ grid <- gensvm.grid(x, y)
 
 # predict training sample
 y.hat <- predict(grid, x)
+}
 
 }
 \references{
diff --git a/man/print.gensvm.grid.Rd b/man/print.gensvm.grid.Rd
index 0a5377d..1f19737 100644
--- a/man/print.gensvm.grid.Rd
+++ b/man/print.gensvm.grid.Rd
@@ -18,12 +18,14 @@ returns the object passed as input
 Prints the summary of the fitted GenSVMGrid model
 }
 \examples{
+\dontrun{
 x <- iris[, -5]
 y <- iris[, 5]
 
 # fit a grid search and print the resulting object
 grid <- gensvm.grid(x, y)
 print(grid)
+}
 
 }
 \references{