`intsvy`

is an R package for working with international assessment data from PISA (Programme for International Student Assessment), TIMSS (The Trends in International Mathematics and Science Study), PIRLS (Progress in International Reading Literacy Study), PIAAC (Programme for the International Assessment of Adult Competencies) and the International Computer and Information Literacy Study (ICILS). The package includes functions for importing data, performing data analysis, and visualising results. Data analysis functions take into account the complex sample design (with replicate weights) and rotated test forms (with plausible achievement values) in the calculation of point estimates and standard errors of means, standard deviations, regression coefficients, correlation coefficients, and frequency tables. Visualization tools present data aggregates in standardised graphical form.

Package intsvy is available from CRAN. It can be can be installed and loaded into R, as follows:

```
install.packages('intsvy')
library('intsvy')
```

This is the recommended installation method. Alternatively, useRs may install and use the development version of ‘intsvy’ available in GitHub at their own risk:

```
install.packages('devtools')
library('devtools')
install_github("eldafani/intsvy")
library('intsvy')
```

Documentation for R intsvy functions can be accessed via `help(package='intsvy')`

. More resources to learn how to use `intsvy`

are provided below.

The `intsvy`

tutorial can be downloaded from here.

Video 1: Installing R ‘intsvy’

Video 2: Directory paths and operating systems

The following links offer examples of how to conduct analysis with `intsvy`

: