plots: Plot functions for manuscript

In palasso: Sparse Regression with Paired Covariates

Plot functions for manuscript

Description

Functions for the palasso manuscript.

Usage

plot_score(X, choice = NULL, ylab = "count")

plot_table(
  X,
  margin = 2,
  labels = TRUE,
  colour = TRUE,
  las = 1,
  cex = 1,
  cutoff = NA
)

plot_circle(b, w, cutoff = NULL, group = NULL)

plot_box(
  X,
  choice = NULL,
  ylab = "",
  ylim = NULL,
  zero = FALSE,
  invert = FALSE
)

plot_pairs(x, y = NULL, ...)

plot_diff(x, y, prob = 0.95, ylab = "", xlab = "", ...)

Arguments

X	matrix with n rows and p columns
choice	numeric between 1 and p
margin	0 (none), 1 (rows), or 2 (columns)
cutoff	numeric between 0 and 1
b	between-group correlation: vector of length p
w	within-group correlation: matrix with p rows and p columns
group	vector of length p
x, y	vectors of equal length
...	additional arguments
prob	confidence interval: numeric between 0 and 1

Details

The function plot_score compares a selected column to each of the other columns. It counts the number of rows where the entry in the selected column is smaller (blue), equal (white), or larger (red).

Value

to do

See Also

Use palasso to fit the paired lasso.

Examples

### score ###
n <- 10; p <- 4
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
palasso:::plot_score(X)

### table ###
n <- 5; p <- 3
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
palasso:::plot_table(X,margin=2)

### circle ###
n <- 50; p <- 25
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
Z <- matrix(rnorm(n*p),nrow=n,ncol=p)
b <- sapply(seq_len(p),function(i) abs(cor(X[,i],Z[,i])))
w <- pmax(abs(cor(X)),abs(cor(Z)),na.rm=TRUE)
palasso:::plot_circle(b,w,cutoff=0)

### box ###
n <- 10; p <- 5
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
palasso:::plot_box(X,choice=5)

### pairs ###
n <- 10
x <- runif(n)
y <- runif(n)
palasso:::plot_pairs(x,y)

### diff ###
n <- 100
x <- runif(n)
y <- runif(n)
palasso:::plot_diff(x,y)

palasso documentation built on Sept. 30, 2024, 9:30 a.m.