Previous functions of the day
with {base}
Evaluate an R expression in an environment constructed from data,
possibly modifying the original data.
subset {base}
Return subsets of vectors, matrices or data frames which meet conditions.
transform {base}
transform is a generic function, which---at least
currently---only does anything useful with
data frames. transform.default converts its first argument to
a data frame if possible and calls transform.data.frame.
do.call {base}
do.call constructs and executes a function call from a name or
a function and a list of arguments to be passed to it.
traceback {base}
By default traceback() prints the call stack of the last
uncaught error, i.e., the sequence of calls that lead to the error.
This is useful when an error occurs with an unidentifiable error
message. It can also be used to print the current stack or
arbitrary lists of deparsed calls.
CrossTable {gmodels}
An implementation of a cross-tabulation function with output
similar to S-Plus crosstabs() and SAS Proc Freq (or SPSS format)
with Chi-square, Fisher and McNemar tests of the independence
of all table factors.
createDataPartition {caret}
A series of test/training partitions are created using
createDataPartition while createResample creates one or
more bootstrap samples. createFolds splits the data into
k groups while createTimeSlices creates cross-validation
sample information to be used with time series data.
confusionMatrix {caret}
Calculates a cross-tabulation of observed and predicted classes with associated statistics.
train {caret}
This function sets up a grid of tuning parameters for a number of classification and regression routines,
fits each model and calculates a resampling based performance measure.
expand.grid {base}
Create a data frame from all combinations of the supplied vectors or
factors. See the description of the return value for precise details of
the way this is done.