get_limits: Get suitable limits for coordinate system based on the MCMC...
In hlplab/MVBeliefUpdatr: Fitting, Summarizing, and Visualizing of Multivariate Gaussian Ideal Observers and Adaptors
View source: R/visualize-basics.R
get_limits R Documentation
Get suitable limits for coordinate system based on the MCMC samples of a variable.
Description
Useful for, for example, plotting of distribution.
Usage
get_limits(data, measure, by = NULL, hdi.prob = 0.99, min = NULL, max = NULL)
Arguments
data
A 'tibble' or 'data.frame' that contains a 'measure'.
measure
Name of variable in 'data' for which limits are sought.
by
Optionally, a grouping variable. If not NULL, limits will be returned for each level of this
variable. (default: 'NULL')
hdi.prob
Proportion of MCMC samples that are within the limits. (default: .99)
min, max
If min or max are specified, then those limits are returned instead of the HDI-based limits.
Value
Vector with two values.
See Also
TBD
hlplab/MVBeliefUpdatr documentation built on March 29, 2025, 10:42 p.m.
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View source: R/visualize-basics.R
| get_limits | R Documentation |
Get suitable limits for coordinate system based on the MCMC samples of a variable.
Description
Useful for, for example, plotting of distribution.
Usage
get_limits(data, measure, by = NULL, hdi.prob = 0.99, min = NULL, max = NULL)
Arguments
data |
A 'tibble' or 'data.frame' that contains a 'measure'. |
measure |
Name of variable in 'data' for which limits are sought. |
by |
Optionally, a grouping variable. If not NULL, limits will be returned for each level of this variable. (default: 'NULL') |
hdi.prob |
Proportion of MCMC samples that are within the limits. (default: .99) |
min, max |
If min or max are specified, then those limits are returned instead of the HDI-based limits. |
Value
Vector with two values.
See Also
TBD
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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