# CIBER

##### Confidence Interval-Based Estimation of Relevance (CIBER)

This function generates a high-level plot consisting of several diamond plots. This function is useful for estimating the relative relevance of a set of determinants of, for example, behavior. The plot in the left hand panel shows each determinant's distribution with a diamond representing the confidence interval. The right hand plot shows the determinants' associations to one or more 'target' variables, such as behavior or determinants of behavior.

- Keywords
- hplot

##### Usage

```
CIBER(data, determinants, targets,
conf.level = list(means = 0.9999,
associations = 0.95),
subQuestions = NULL,
leftAnchors = rep("Lo", length(determinants)),
rightAnchors = rep("Hi", length(determinants)),
orderBy = NULL, decreasing = NULL,
generateColors = list(means = c("red", "blue", "green"),
associations = c("red", "grey", "green")),
strokeColors = brewer.pal(9, "Set1"),
titlePrefix = "Means and associations with",
titleVarLabels = NULL, titleSuffix = "",
fullColorRange = NULL, associationsAlpha = 0.5,
returnPlotOnly = TRUE, drawPlot = TRUE,
baseSize = 0.8, dotSize = 2.5 * baseSize,
baseFontSize = 10 * baseSize,
theme = theme_bw(base_size = baseFontSize), ...)
```detStructCIBER(determinantStructure, dat,
conf.level = list(means = 0.9999,
associations = 0.95),
subQuestions = NULL,
leftAnchors = rep("Lo", length(determinants)),
rightAnchors = rep("Hi", length(determinants)),
orderBy = 1, decreasing = NULL,
generateColors = list(means = c("red", "blue", "green"),
associations = c("red", "grey", "green")),
strokeColors = brewer.pal(9, "Set1"),
titlePrefix = "Means and associations with",
titleVarLabels = NULL, titleSuffix = "",
fullColorRange = NULL, associationsAlpha = 0.5,
baseSize = 0.8, dotSize = 2.5 * baseSize,
baseFontSize = 10 * baseSize,
theme = theme_bw(base_size = baseFontSize), ...)

##### Arguments

- data, dat
The dataframe containing the variables.

- determinants
The 'determinants': the predictors (or 'covariates') of the target variables(s) (or 'criteria').

- targets
The 'targets' or 'criteria' variables: the variables predicted by the determinants.

- determinantStructure
When using

`detStructCIBER`

, the determinant structure as generated by`determinantStructure`

is included here.`determinants`

,`targets`

,`subQuestions`

,`leftAnchors`

, and`rightAnchors`

are then read from the`determinantStructure`

object. In other words: once a`determinantStructure`

has been generated, only`dat`

and`determinantStructure`

have to be provided as argument to generate a CIBER diamond plot.- conf.level
The confidence levels for the confidence intervals: has to be a named list with two elements:

`means`

and`associations`

, specifying the desired confidence levels for the means and associations, respectively. The confidence level for the associations is also used for the intervals for the proportions of explained variance.- subQuestions
The subquestions used to measure each determinants. This can also be used to provide pretty names for the variables if the determinants were not measured by one question each. Must have the same length as

`determinants`

.- leftAnchors
The anchors to display on the left side of the left hand panel. If the determinants were measured with one variable each, this can be used to show the anchors that were used for the respective scales. Must have the same length as

`determinants`

.- rightAnchors
The anchors to display on the left side of the left hand panel. If the determinants were measured with one variable each, this can be used to show the anchors that were used for the respective scales. Must have the same length as

`determinants`

.- orderBy
Whether to sort the determinants. Set to

`NULL`

to not sort at all; specify the name or index of one of the`target`

s to sort by the point estimates of the associations with that target variable. Use`decreasing`

to determine whether to sort in ascending or descending order. For convenience, if`orderBy`

is not`NULL`

, but`decreasing`

is, the determinants are sorted in descending (decreasing) order.- decreasing
Whether to sort the determinants. Specify

`NULL`

to not sort at all,`TRUE`

to sort in descending order, and`FALSE`

to sort in ascending order. If`decreasing`

is nor`NULL`

, but`orderBy`

is`NULL`

, the determinants are sorted by their means. For convenience, if`orderBy`

is not`NULL`

, but`decreasing`

is, the determinants are sorted in descending (decreasing) order.- generateColors
The colors to use to generate the gradients for coloring the diamonds representing the confidence intervals. Has to be a named list with two elements:

`means`

and`associations`

, specifying the desired colors for the means and associations, respectively.- strokeColors
The palette to use to color the stroke of the confidence intervals for the associations between the determinants and the targets. Successive colors from this palette are used for the targets.

- titlePrefix
Text to add before the list of target names and the proportions of explained variance for each target. This plot title also serves as legend to indicate which target 'gets' which each color.

- titleVarLabels
Optionally, variable labels to use in the plot title. Has to be the exact same length as

`targets`

.- titleSuffix
Text to add after the list of target names and the proportions of explained variance for each target.

- fullColorRange
If colors are specified, this can be used to specify which values, for the determinant confidence intervals in the left hand panel, are the minimum and maximum. This is useful if those scores are not actually in the data (e.g. for extremely skewed distributions). If

`NULL`

, the range of all individual scores on the determinants is used. For the associations,`c(-1, 1)`

is always used as`fullColorRange`

.- associationsAlpha
The alpha level (transparency) of the confidence interval diamonds in the right hand plot. Value between 0 and 1, where 0 signifies complete transparency (i.e. invisibility) and 1 signifies complete 'opaqueness'.

- returnPlotOnly
Whether to return the entire object that is generated (including all intermediate objects) or only the plot.

- drawPlot
Whether the draw the plot, or only return it.

- baseSize
This can be used to efficiently change the size of most plot elements.

- dotSize
This is the size of the points used to show the individual data points in the left hand plot.

- baseFontSize
This can be used to set the font size separately from the

`baseSize`

.- theme
This is the theme that is used for the plots.

- …
These arguments are passed on to

`biAxisDiamondPlot`

(for the left panel) and`diamondPlot`

(for the right panel). Note that all argument are passed to both those functions.

##### Details

Details are explained in Crutzen & Peters (2017).

##### Value

Depending on the value of `returnPlotOnly`

, either the
plot only (a `gtable`

object) or an object containing most
objects created along the way (in which case the plot is stored
in `$output$bla`

).

The plot has `width`

and `height`

attributes which can be
used when saving the plot.

##### References

Crutzen, R., Peters, G.-J. Y., & Noijen, J. (2017). How to Select Relevant Social-Cognitive Determinants and Use them in the Development of Behaviour Change Interventions? Confidence Interval-Based Estimation of Relevance. http://dx.doi.org/

##### See Also

`biAxisDiamondPlot`

, `associationsDiamondPlot`

, `determinantStructure`

##### Examples

```
# NOT RUN {
CIBER(data=mtcars,
determinants=c('drat', 'wt', 'am',
'gear', 'vs', 'carb'),
targets=c('mpg', 'cyl'));
# }
```

*Documentation reproduced from package userfriendlyscience, version 0.6-1, License: GPL (>= 2)*