`ellipse`

contains ellipse drawing routines designed for pairwise confidence regions, including distorted ellipses for nonlinear regression regions. It also includes a routine `plotcorr()`

for plotting correlation matrices using ellipses.

## Installation

It is on CRAN, and can be installed using

`install.packages("ellipse")`

You can install the development version of ellipse from GitHub with:

```
# install.packages("devtools")
devtools::install_github("dmurdoch/ellipse")
```

## Example

Plot approximate pairwise confidence regions and profile trace plots for a nonlinear fit:

```
data(Puromycin)
Purboth <- nls(formula = rate ~ ((Vm + delV * (state == "treated"))
* conc)/(K + conc), data = Puromycin,
start = list(Vm = 160, delV = 40, K = 0.05))
Pur.prof <- profile(Purboth)
ellipse::pairs(Pur.prof)
```

The `plotcorr()`

function can plot a matrix of ellipses:

```
library(ellipse)
#>
#> Attaching package: 'ellipse'
#> The following object is masked from 'package:graphics':
#>
#> pairs
corr.mtcars <- cor(mtcars)
ord <- order(corr.mtcars[1,])
xc <- corr.mtcars[ord, ord]
colors <- c("#A50F15","#DE2D26","#FB6A4A","#FCAE91","#FEE5D9","white",
"#EFF3FF","#BDD7E7","#6BAED6","#3182BD","#08519C")
plotcorr(xc, col=colors[5*xc + 6])
```