plotCI {BranchGLM} | R Documentation |

## Plot Confidence Intervals

### Description

Creates a plot to display confidence intervals.

### Usage

```
plotCI(
CIs,
points = NULL,
ylab = "",
ylas = 2,
cex.y = 1,
decreasing = FALSE,
...
)
```

### Arguments

`CIs` |
a numeric matrix of confidence intervals, must have exactly 2 columns. The variable names displayed in the plot are taken from the column names. |

`points` |
points to be plotted in the middle of the CIs, typically means or medians. The default is to plot the midpoints of the intervals. |

`ylab` |
a label for the y-axis. |

`ylas` |
the style of the y-axis label, see more about this at |

`cex.y` |
font size used for variable names on y-axis. |

`decreasing` |
a logical value indicating if confidence intervals should be displayed in decreasing or increasing order according to points. Can use NA if no ordering is desired. |

`...` |
further arguments passed to plot.default. |

### Value

This only produces a plot, nothing is returned.

### Examples

```
Data <- iris
### Fitting linear regression model
mymodel <- BranchGLM(Sepal.Length ~ ., data = Data, family = "gaussian", link = "identity")
### Getting confidence intervals
CIs <- confint.default(mymodel, level = 0.95)
xlim <- c(min(CIs), max(CIs))
### Plotting CIs
par(mar = c(5, 7, 3, 1) + 0.1)
plotCI(CIs, main = "95% Confidence Intervals", xlim = xlim, cex.y = 0.9,
xlab = "Beta Coefficients")
abline(v = 0)
```

[Package

*BranchGLM*version 2.1.5 Index]