resd_dsl: Heterogeneity standard deviation in meta-analysis
In chjackson/MetaAnalyser: An Interactive Visualisation of Meta-Analysis as a Physical Weighing Machine
Description
Usage
Arguments
Value
Examples
Description
Random effects standard deviation using the classic DerSimonian & Laird formula.
Usage
1
resd_dsl(dat)
Arguments
dat
Meta-analysis data. This should be a data frame with three columns, called "name", "est" and "se" giving the study name, study-specific parameter estimates and corresponding standard errors respectively.
Numeric or character study names are permitted. If the data frame has more than three columns, the first three are used. If the first three columns are called "name", "est" and "se" in some order, they are re-ordered appropriately, otherwise they are re-named.
Value
Estimated random effects standard deviation
Examples
1
chjackson/MetaAnalyser documentation built on May 13, 2019, 5:28 p.m.
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Description Usage Arguments Value Examples
Description
Random effects standard deviation using the classic DerSimonian & Laird formula.
Usage
1 | resd_dsl(dat)
|
Arguments
dat |
Meta-analysis data. This should be a data frame with three columns, called "name", "est" and "se" giving the study name, study-specific parameter estimates and corresponding standard errors respectively. Numeric or character study names are permitted. If the data frame has more than three columns, the first three are used. If the first three columns are called "name", "est" and "se" in some order, they are re-ordered appropriately, otherwise they are re-named. |
Value
Estimated random effects standard deviation
Examples
1 |
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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