variable_summary: Computes mean and optional probabilities for a given...
In TriDimRegression: Bayesian Statistics for 2D/3D Transformations
View source: R/variable_summary.R
variable_summary R Documentation
Computes mean and optional probabilities for a given
variable.
Description
Computes mean and optional probabilities for a given
variable.
Usage
variable_summary(var_name, var_matrix, probs)
Arguments
var_name
String, name of the dependent variable
var_matrix
Numeric matrix samplesN x observationsN.
probs
A numeric vector of quantiles to compute.
Value
data.frame with "var_name" column for the mean and
"var_name_prob" columns for each probability.
Examples
variable_summary("test", matrix(1:1000, ncol = 1), c(0.05, 0.95))
TriDimRegression documentation built on Sept. 13, 2023, 5:07 p.m.
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View source: R/variable_summary.R
| variable_summary | R Documentation |
Computes mean and optional probabilities for a given variable.
Description
Computes mean and optional probabilities for a given variable.
Usage
variable_summary(var_name, var_matrix, probs)
Arguments
var_name |
String, name of the dependent variable |
var_matrix |
Numeric matrix samplesN x observationsN. |
probs |
A numeric vector of quantiles to compute. |
Value
data.frame with "var_name" column for the mean and "var_name_prob" columns for each probability.
Examples
variable_summary("test", matrix(1:1000, ncol = 1), c(0.05, 0.95))
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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