Conan: Removes missing values (rows and column to obtain a large...
In CorReg: Linear Regression Based on Linear Structure Between Variables

Description Usage Arguments Value Examples

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

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

`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)

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

data <- mtcars
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