Conan: Removes missing values (rows and column to obtain a large...

In CorReg: Linear Regression Based on Linear Structure Between Variables

Description

Removes missing values (rows and column alternatively) to obtain a large full matrix

Usage

Conan(X = X, nbstep = Inf, std = FALSE, verbose = FALSE,
  coercing = NULL, Xout = TRUE)

Arguments

X	the dataset (matrix) with missing values
nbstep	number of cutting steps (may remove several rows or columns at each step)
std	(boolean) remove constant covariates
verbose	(boolean) to print the result
coercing	vector of the covariates to keep (names or index)
Xout	(boolean) to export or not the reduced matrix (if not, indices are sufficient)

Value

individus_restants	Index of remaining individuals
variables_restantes	Index of remaining variables
X	If Xout=TRUE, the reduced dataset without missing values

Examples

   ## Not run: 
   data<-mtcars
   require(CorReg)
  datamiss=Terminator(target = data,wrath=0.05)#5% of missing values
  datamiss
  showdata(datamiss)#plot positions of the missing values
  reduced=Conan(X=datamiss)
  reduced
    
## End(Not run)

CorReg documentation built on Sept. 6, 2019, 3 a.m.