Parallel Co ordinate plots

Source: R/fn_exp_ParCoordPlot.R

This function creates parallel Co ordinate plots

ExpParcoord(
  data,
  Group = NULL,
  Stsize = NULL,
  Nvar = NULL,
  Cvar = NULL,
  scale = NULL
)

Arguments

data

Input dataframe or data.table
Group

stratification variables
Stsize

vector of startum sample sizes
Nvar

vector of numerice variables, default it will consider all the numeric variable from data
Cvar

vector of categorical variables, default it will consider all the categorical variable
scale

scale the variables in the parallel coordinate plot (Default normailized with minimum of the variable is zero and maximum of the variable is one) (see ggparcoord details for more scale options)

Value

Parallel Co ordinate plots

Details

The Parallel Co ordinate plots having the functionalities of visulization for sample rows if data size large. Also data can be stratified basis of Target or group variables. It will normalize all numeric variables between 0 and 1 also having other standardization options. It will automatically make dummy (1,0) variables for categorical variables

See also

ggparcoord

Examples

CData = ISLR::Carseats
# Defualt ExpParcoord funciton
ExpParcoord(CData,Group=NULL,Stsize=NULL,
         Nvar=c("Price","Income","Advertising","Population","Age","Education"))

# With Stratified rows and selected columns only
ExpParcoord(CData,Group="ShelveLoc",Stsize=c(10,15,20),
         Nvar=c("Price","Income"),Cvar=c("Urban","US"))

# Without stratification
ExpParcoord(CData,Group="ShelveLoc",Nvar=c("Price","Income"),
         Cvar=c("Urban","US"),scale=NULL)

# Scale changed std: univariately, subtract mean and divide by standard deviation
ExpParcoord(CData,Group="US",Nvar=c("Price","Income"),
         Cvar=c("ShelveLoc"),scale="std")

# Selected numeric variables
ExpParcoord(CData,Group="ShelveLoc",Stsize=c(10,15,20),
         Nvar=c("Price","Income","Advertising","Population","Age","Education"))