A small package to interface the SMAC optimizer from R.


co-author and maintainer mlrMBO - the comprehensive toolbox for model-based optimization in R.


A package that enables easy effortless hyper parameter optimization for mlr.


co-author of mlr - the huge R-package for machine learning.


Maintainer and co-author of the mlr-blog.


Is true really true?

An often forgotten R-function while developing: isTRUE() and it’s brother isFALSE(). Have you found yourself in the situation that you had to write

if (!is.null(foo$bar) && foo$bar == "awesome") {}

Much shorter is the following:

if (isTRUE(foo$bar == "awesome")) {}
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Keep data.frame a data.frame

When writing R functions always remind yourself to think about if it can happen that you accidentally just select one column of a data.frame. This will result in vector which might not be what you expect in the following code. One good practice is to always use drop=FALSE when you intend to get a data.frame and use the [[]] notation if you expect a vector.

df = data.frame(a = 1:3, b = letters[1:3])
cols = c("a")

Lets assume cols is a vector which only sometimes has the length one, then we would do the following:

df[, cols, drop=FALSE]
##   a
## 1 1
## 2 2
## 3 3

And to purposefully select a vector:

## [1] 1 2 3
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Plot correctly with `par`

Sometimes you have to work with base::plot and to combine multiple plots the solution is e.g. par(mfrow=c(1,2), ...). Unfortunately using par can mess up all your future plots in the active R session. This is one handy trick to get back to the default settings for plotting:

op = par(mfrow = c(1, 2))
plot(runif(100), runif(100))
plot(runif(100), runif(100))

plot of chunk unnamed-chunk-1

plot(runif(100), runif(100))

plot of chunk unnamed-chunk-1

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