Compute effect size from a 2 by 2 frequency table.
esc_2x2( grp1yes, grp1no, grp2yes, grp2no, es.type = c("logit", "d", "g", "or", "r", "f", "eta", "cox.d"), study = NULL, ... )
grp1yes  Size of treatment group with successes (outcome = yes). 

grp1no  Size of treatment group with nonsuccesses (outcome = no). 
grp2yes  Size of control group with successes (outcome = yes). 
grp2no  Size of control group with nonsuccesses (outcome = no). 
es.type  Type of effect size that should be returned.

study  Optional string with the study name. Using 
...  Other parameters, passed down to further functions. For internal use only, can be ignored. 
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
.
If es.type = "r"
, Fisher's transformation for the effect size
r
and their confidence intervals are also returned.
Lipsey MW, Wilson DB. 2001. Practical metaanalysis. Thousand Oaks, Calif: Sage Publications
Wilson DB. 2016. Formulas Used by the "Practical MetaAnalysis Effect Size Calculator". Unpublished manuscript: George Mason University
# effect size log odds esc_2x2(grp1yes = 30, grp1no = 50, grp2yes = 40, grp2no = 45)#> #> Effect Size Calculation for Meta Analysis #> #> Conversion: 2x2 table (OR) to effect size logits #> Effect Size: 0.3930 #> Standard Error: 0.3171 #> Variance: 0.1006 #> Lower CI: 1.0146 #> Upper CI: 0.2285 #> Weight: 9.9448# effect size odds ratio esc_2x2(grp1yes = 30, grp1no = 50, grp2yes = 40, grp2no = 45, es.type = "or")#> #> Effect Size Calculation for Meta Analysis #> #> Conversion: 2x2 table (OR) coefficient to effect size odds ratio #> Effect Size: 0.6750 #> Standard Error: 0.3171 #> Variance: 0.1006 #> Lower CI: 0.3626 #> Upper CI: 1.2567 #> Weight: 9.9448