R: Attach confidence interval to 'ggplot2::ggplot'

plot_confint {ggfortify} | R Documentation

## Attach confidence interval to `ggplot2::ggplot`

### Description

Attach confidence interval to `ggplot2::ggplot`

### Usage

    plot_confint(p, data = NULL, lower = "lower", upper = "upper",
      conf.int = TRUE, conf.int.geom = "line", conf.int.group = NULL,
      conf.int.colour = "#0000FF", conf.int.linetype = "none",
      conf.int.fill = "#000000", conf.int.alpha = 0.3)

### Arguments

`p` | `ggplot2::ggplot` instance
`data` | data contains lower and upper confidence intervals
`lower` | column name for lower confidence interval
`upper` | column name for upper confidence interval
`conf.int` | Logical flag indicating whether to plot confidence intervals
`conf.int.geom` | geometric string for confidence interval. 'line' or 'step'
`conf.int.group` | name of grouping variable for confidence intervals
`conf.int.colour` | line colour for confidence intervals
`conf.int.linetype` | line type for confidence intervals
`conf.int.fill` | fill colour for confidence intervals
`conf.int.alpha` | alpha for confidence intervals

### Value

ggplot

### Examples

    d <- fortify(stats::acf(AirPassengers, plot = FALSE))
    p <- ggplot(data = d, mapping = aes(x = Lag))
    ggfortify:::plot_confint(p, data = d)

[Package ggfortify version 0.4.3 Index]