Compute effect size f from effect size d.

convert_d2f(d, se, v, totaln, info = NULL, study = NULL)

## Arguments

d The effect size d. The standard error of d. One of se or v must be specified. The variance of d. One of se or v must be specified. A vector of total sample size(s). String with information on the transformation. Used for the print-method. Usually, this argument can be ignored Optional string with the study name. Using combine_esc or as.data.frame on esc-objects will add this as column in the returned data frame.

## Value

The effect size es, the standard error se, the variance of the effect size var, the lower and upper confidence limits ci.lo and ci.hi, the weight factor w and the total sample size totaln.

## References

Cohen J. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Erlbaum

## Examples

# d to f
convert_d2f(d = 0.2, se = .1, totaln = 50)#>
#> Effect Size Calculation for Meta Analysis
#>
#>     Effect Size:   0.1000
#>  Standard Error:   0.1000
#>        Variance:   0.0100
#>        Lower CI:  -0.0960
#>        Upper CI:   0.2960
#>          Weight: 100.0000