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https://github.com/strengejacke/esc
Effect Size Computation for Meta Analysis
https://github.com/strengejacke/esc
effect-size meta-analysis r
Last synced: 12 days ago
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Effect Size Computation for Meta Analysis
- Host: GitHub
- URL: https://github.com/strengejacke/esc
- Owner: strengejacke
- Created: 2016-06-30T19:09:58.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-09-25T09:11:32.000Z (about 1 year ago)
- Last Synced: 2024-04-26T02:03:47.031Z (7 months ago)
- Topics: effect-size, meta-analysis, r
- Language: R
- Homepage: https://strengejacke.github.io/esc
- Size: 341 KB
- Stars: 19
- Watchers: 5
- Forks: 5
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
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README
# esc - Effect Size Computation for Meta Analysis 
[](https://zenodo.org/badge/latestdoi/62336116)
This is an R implementation of the web-based ‘Practical Meta-Analysis
Effect Size Calculator’ from David B. Wilson. The original calculator
can be found at
.
Based on the input, the effect size can be returned as standardized mean
difference (`d`), Cohen’s `f`, `eta` squared, Hedges’ `g`, correlation
coefficient effect size `r` or Fisher’s transformation `z`, odds ratio
or log odds effect size.
### Return values
The return value of all functions has the same structure:
- The effect size, whether being `d`, `g`, `r`, `f`, (Cox) odds ratios
or (Cox) logits, is always named `es`.
- The standard error of the effect size, `se`.
- The variance of the effect size, `var`.
- The lower and upper confidence limits `ci.lo` and `ci.hi`.
- The weight factor, based on the inverse-variance, `w`.
- The total sample size `totaln`.
- The effect size measure, `measure`, which is typically specified via
the `es.type`-argument.
- Information on the effect-size conversion, `info`.
- A string with the study name, if the `study`-argument was specified
in function calls.
#### Correlation Effect Size
If the correlation effect size `r` is computed, the transformed Fisher’s
z and their confidence intervals are also returned. The variance and
standard error for the correlation effect size r are always based on
Fisher’s transformation.
#### Odds Ratio Effect Size
For odds ratios, the variance and standard error are always returned on
the log-scale\!
### S3 methods
The **esc** package offers the S3 methods `print()` and
`as.data.frame()`.
### Combining results into a single data frame
The `combine_esc()` method is a convenient way to create pooled data
frames of different effect size calculations, for further use. Here is
an example of `combine_esc()`, which returns a `data.frame` object.
``` r
library(esc)
e1 <- esc_2x2(grp1yes = 30, grp1no = 50, grp2yes = 40, grp2no = 45, study = "Study 1")
e2 <- esc_2x2(grp1yes = 30, grp1no = 50, grp2yes = 40, grp2no = 45, es.type = "or", study = "Study 2")
e3 <- esc_t(p = 0.03, grp1n = 100, grp2n = 150, study = "Study 3")
e4 <- esc_mean_sd(grp1m = 7, grp1sd = 2, grp1n = 50, grp2m = 9, grp2sd = 3, grp2n = 60, es.type = "logit",
study = "Study 4")
combine_esc(e1, e2, e3, e4)
#> study es weight sample.size se var ci.lo ci.hi measure
#> 1 Study 1 -0.3930 9.945 165 0.3171 0.10056 -1.01456 0.2285 logit
#> 2 Study 2 0.6750 9.945 165 0.3171 0.10056 0.36256 1.2567 or
#> 3 Study 3 0.2818 59.434 250 0.1297 0.01683 0.02755 0.5360 d
#> 4 Study 4 -1.3982 7.721 110 0.3599 0.12951 -2.10354 -0.6928 logit
```
**esc** is still under development, i.e. not all effect size computation
options are implemented yet. The remaining options will follow in
further updates.
## Installation
### Latest development build
To install the latest development snapshot (see latest changes below),
type following commands into the R console:
``` r
library(githubinstall)
githubinstall::githubinstall("esc")
```
### Official, stable release
[](https://cran.r-project.org/package=esc)
[](http://cranlogs.r-pkg.org/)
[](http://cranlogs.r-pkg.org/)
To install the latest stable release from CRAN, type following command
into the R console:
``` r
install.packages("esc")
```
## Citation
In case you want / have to cite my package, please use `citation('esc')`
for citation information.
[](https://zenodo.org/badge/latestdoi/62336116)