readByID: Read NMA dataset
In nmadb: Network Meta-Analysis Database API
Description
Usage
Arguments
Value
Description
ReadByID downloads the dataset and main characteristics
of the specified network meta-analysis.
You can list all ids from the catalog by calling getNMADB.
Usage
1
readByID(recid)
Arguments
recid
Record id of network
Value
A list with the name (id), data (dataset), type (continuous, binary,
rate, survival), effect (type of measure: RR OR RR RD ...),
format (long, wide, iv).
'long' refers to data where each row represents a study treatment arm
'wide' refers to data where each row represents a study treatment comparison
'iv' refers to an 'inverse variance' format, where a comparison specific
estimate of the treatment effect and its standard error are reported.
nmadb documentation built on Dec. 19, 2019, 5:07 p.m.
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.
Description Usage Arguments Value
Description
ReadByID downloads the dataset and main characteristics
of the specified network meta-analysis.
You can list all ids from the catalog by calling getNMADB.
Usage
1 | readByID(recid)
|
Arguments
recid |
Record id of network |
Value
A list with the name (id), data (dataset), type (continuous, binary, rate, survival), effect (type of measure: RR OR RR RD ...), format (long, wide, iv).
'long' refers to data where each row represents a study treatment arm
'wide' refers to data where each row represents a study treatment comparison
'iv' refers to an 'inverse variance' format, where a comparison specific estimate of the treatment effect and its standard error are reported.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.