# plot1D: Plot regions of the representative tree in 1D In jacsor/ARMtree2: Multi-resolution multi-sample comparison using ARM-tree

## Description

This function visualizes the regions of the representative tree of the output of the `ARMT` function. For each region the reject probability or the effect size is plotted.

## Usage

 ```1 2``` ```plot1D(ans, type = "rej", group = 1, dim = 1, regions = rep(1, length(ans\$RepresentativeTree\$Levels)), legend = FALSE, main = "default") ```

## Arguments

 `ans` An `ARMT` object. `type` What is represented at each node. The options are `type = c("eff", "rej")`. Default is ```type = "rej"```. `group` If `type = "eff"`, which group effect size is used. Default is `group = 1`. `dim` If the data are multivariate, `dim` is the dimension plotted. Default is `dim = 1`. `regions` Binary vector indicating the regions to plot. The default is to plot all regions. `legend` Color legend for type. Default is `legend = FALSE`. `main` Overall title for the plot.

## References

Soriano J. and Ma L. (2014). Multi-resolution two-sample comparison through the divide-merge Markov tree. Preprint. http://arxiv.org/abs/1404.3753

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```set.seed(1) p = 1 n1 = 200 n2 = 200 mu1 = matrix( c(0,10), nrow = 2, byrow = TRUE) mu2 = mu1; mu2[2] = mu1[2] + .01 sigma = c(1,.1) Z1 = sample(2, n1, replace=TRUE, prob=c(0.9, 0.1)) Z2 = sample(2, n2, replace=TRUE, prob=c(0.9, 0.1)) X1 = mu1[Z1] + matrix(rnorm(n1*p), ncol=p)*sigma[Z1] X2 = mu2[Z2] + matrix(rnorm(n2*p), ncol=p)*sigma[Z1] X = rbind(X1, X2) G = c(rep(1, n1), rep(2,n2)) ans = ARMT(X, G, K=10) plot1D(ans, type = "rej") plot1D(ans, type = "eff") ```

jacsor/ARMtree2 documentation built on May 17, 2017, 6:49 a.m.