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SCVA  

Single-Case Visual Analysis
View on CRAN: Click here


Download and install SCVA package within the R console
Install from CRAN:
install.packages("SCVA")

Install from Github:
library("remotes")
install_github("cran/SCVA")

Install by package version:
library("remotes")
install_version("SCVA", "1.3.1")



Attach the package and use:
library("SCVA")
Maintained by
Tamal Kumar De
[Scholar Profile | Author Map]
First Published: 2012-03-03
Latest Update: 2020-01-09
Description:
Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) . The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
How to cite:
Tamal Kumar De (2012). SCVA: Single-Case Visual Analysis. R package version 1.3.1, https://cran.r-project.org/web/packages/SCVA. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.0 (2012-03-03 15:07), 0.1 (2013-01-26 16:24), 1.0 (2014-01-13 11:17), 1.1.1 (2015-01-27 16:55), 1.1 (2014-09-02 10:52), 1.2.1 (2017-06-01 14:18), 1.2 (2017-03-19 12:57), 1.3.0 (2019-07-25 10:10)
Other packages that cited SCVA R package
View SCVA citation profile
Other R packages that SCVA depends, imports, suggests or enhances
Complete documentation for SCVA
Functions, R codes and Examples using the SCVA R package
Some associated functions: AB . SCVA-package . graph.CL . graph.TREND . graph.VAR . graph.extract . graph . graphly . 
Some associated R codes: graph.CL.R . graph.R . graph.TREND.R . graph.VAR.R . graph.extract.R . graphly.R .  Full SCVA package functions and examples
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