morris_weight_analysis: Morris weigth function

In hubmeta/R: Meta Analysis Package

Morris weigth function

Description

Morris weigth function

Usage

morris_weight_analysis(
  correlations,
  sample_sizes,
  reliability_of_x,
  reliability_of_y,
  significance_levels,
  default_reliability_of_x = 1,
  default_reliability_of_y = 1
)

Arguments

correlations:	correlations should pass like c(.18, .0, .08, .15, .27, .1, .28, .17, .02, .28)
sample_sizes:	sample sizes should pass like c(426, 328, 122, 284, 472, 154, 372, 674, 110, 116)
reliability_of_x:	reliability of x should pass like c(.85, NA, NA, .86, .80, .79, .91, .85, .92, .85)
reliability_of_y:	reliability of y should pass like c(.63, .63, .62, .39, .24, .85, .89, .48, .68, .84)
significance_levels:	Significance level of 1)Confidence intervals; 2)Credibility intervals and it should pass
default_reliability_of_x:	if you add any number it will be the default value and if you pass NULL it will replace with average of other reliabilities #'@param default_reliability_of_y: if you add any number it will be the default value and if you pass NULL it will replace with average of other reliabilities like c(0.95, 0.80)

Value

result data frame

hubmeta/R documentation built on Aug. 28, 2022, 5:44 p.m.