makeci: Create confidence interval grob
In forestploter: Create a Flexible Forest Plot

makeci

R Documentation

Create confidence interval grob

Create confidence interval grob

makeci(
  est,
  lower,
  upper,
  pch,
  sizes = 1,
  gp = gpar(),
  t_height = NULL,
  xlim = c(0, 1),
  nudge_y = 0,
  name = NULL
)

`est`	Point estimation. Can be a list for multiple columns and/or multiple groups. If the length of the list is larger than then length of `ci_column`, then the values reused for each column and considered as different groups.
`lower`	Lower bound of the confidence interval, same as `est`.
`upper`	Upper bound of the confidence interval, same as `est`.
`pch`	Numeric or character vector indicating what sort of plotting symbol to use. See `pointsGrob`.
`sizes`	Size of the point estimation box, can be a vector or a list. The value is a multiple of one line of text, so `1` draws a point as tall as the `base_size` of the theme. The same scale applies to the summary diamond. Values are used as they are, unless `scale_sizes` is used to read them as study weights; useful values are roughly between `0.2` and `1.5`, and a warning is given when the plot is drawn if they are outside `0.1` to `2`.
`gp`	Graphical parameters of `gpar`. Please refer to `forest_theme` for more details.
`t_height`	The height of the confidence interval line end vertices. If the value is `NULL` (default), no vertices will be drawn.
`xlim`	Limits for the x-axis as a vector of length 2, i.e. `c(low, high)`. By default the minimum and maximum of the lower and upper values are used.
`nudge_y`	Vertical adjustment to nudge groups by, must be within 0 to 1. Defaults to `0`; for grouped forest plots a value of `0` is bumped to `0.1` automatically so that group CIs do not overplot. Set explicitly to override.
`name`	Name of the grob.