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Install the package

Several ways to install the package.

Source from GitHub

Use the code below to install the manylabRs package directly from GitHub.

```{r, eval=FALSE} library(devtools) install_github("ManyLabsOpenScience/manylabRs")

### Download tarball from GitHub

First [download the tarball](, then install the package locally through the RStudio package installer: `Tools` >> `Install Packages...`

## Main function

The main function to inspect is `get.analyses()`.  

It will take one or more take analysis (`studies`) from the `masteRkey` sheet and an indication of whether the analysis is:
1. `global` - will disregard the clusters in the data and use all valid caes for analyses, both `primary` and `secondary` analyses have a `global` variant.
2. `primary`- target analysis of replication study conducted for each lab seperately.
3. `secondary` - additional analyses conducted for each lab seperately.
4. `order` - presentation order analyses disregard the clusters int he data, each order is analysed seperately

> Have a look at [`saveConsole.R`]( which calls the `testScript()` function and creates a log file with lots of info about the analysis steps.

The example below runs a global analysis for `Huang.1`

df <- get.analyses(studies = 1, analysis.type = 1)

The object df contains two named lists:^[these names correspond to the analysis name in the masteRkey spreadsheet]

This list contains dataframes with the relevant variables for each analysis, but before the analysis specific variable functions (varfun) are applied. There is a Boolean variable case.include which indicates whther a case is valid and should be included for analysis.



The dataframe in aggregated contains the data as is was analysed, after the varfun is applied.


Other algorithms

Other algorithms

ManyLabsOpenScience/manylabRs documentation built on Nov. 21, 2018, 5:29 p.m.