NNS.ANOVA: NNS ANOVA

Description Usage Arguments Value Author(s) References Examples

View source: R/ANOVA.R

Description

Analysis of variance (ANOVA) based on lower partial moment CDFs for multiple variables. Returns a degree of certainty the difference in sample means is zero, not a p-value.

Usage

1
2
NNS.ANOVA(control, treatment, confidence.interval = 0.95, tails = "Both",
  pairwise = FALSE, plot = TRUE, binary = TRUE)

Arguments

control

a numeric vector, matrix or data frame.

treatment

NULL (default) a numeric vector, matrix or data frame.

confidence.interval

numeric [0, 1]; The confidence interval surrounding the control mean when (binary = TRUE). Defaults to (confidence.interval = 0.95).

tails

options: ("Left", "Right", "Both"). tails = "Both"(Default) Selects the tail of the distribution to determine effect size.

pairwise

logical; FALSE (defualt) Returns pairwise certainty tests when set to pairwise = TRUE.

plot

logical; TRUE (default) Returns the boxplot of all variables along with grand mean identification. When (binary = TRUE), returns the boxplot of both variables along with grand mean identification and confidence interval thereof.

binary

logical; TRUE (default) Selects binary analysis between a control and treatment variable.

Value

For (binary = FALSE) returns the degree certainty the difference in sample means is zero [0, 1].

For (binary = TRUE) returns:

Author(s)

Fred Viole, OVVO Financial Systems

References

Viole, F. and Nawrocki, D. (2013) "Nonlinear Nonparametric Statistics: Using Partial Moments" http://amzn.com/1490523995

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
### Binary analysis and effect size
set.seed(123)
x <- rnorm(100) ; y <- rnorm(100)
NNS.ANOVA(control = x, treatment = y)

### Two variable analysis with no control variable
A <- cbind(x, y)
NNS.ANOVA(A)

### Multiple variable analysis with no control variable
set.seed(123)
x <- rnorm(100) ; y<- rnorm(100) ; z<- rnorm(100)
A <- cbind(x, y, z)
NNS.ANOVA(A)

NNS documentation built on April 15, 2019, 5:05 p.m.