Svensson's Method

Obtain parameters of Svensson's Method, including percentage agreement, systematic change and individual change. Also, the contingency table can be generated. Svensson's Method is a rank-invariant nonparametric method for the analysis of ordered scales which measures the level of change both from systematic and individual aspects. For the details, please refer to Svensson E. Analysis of systematic and random differences between paired ordinal categorical data [dissertation]. Stockholm: Almqvist & Wiksell International; 1993.


svenssonm

The goal of svenssonm is to make it easier to realize Svensson's Method by R. Svensson's Method is a rank-invariant nonparametric method for the analysis of ordered scales which measures the level of change both from systematic and individual aspects. Please refer to the following dissertation for more detail information about Svensson's Method:Svensson E. Analysis of systematic and random differences between paired ordinal categorical data [dissertation]. Stockholm: Almqvist & Wiksell International; 1993.

Example

An example about how to get the results you want:

## basic example code
x <- c (1:5,5:1) #a numeric vector of data values
y <- c(1:5,1,1,5,4,1) #have same length as x
z <- con_ta(x,y,5) #The contengency table, a two-dimension matrix.
sresult(z) #Get all the results for Svensson's method.

Installation Instructions

install.packages("svenssonm")
library(svenssonm)

OR

install.packages("devtools")
devtools::install_github("lexizhu/svenssonm")
library(svenssonm)

The Main Components

Contingency Table Generation: con_ta(x, y, level = 5)

Systematic Change: rp(t); rpse(t); rc(t); rcse(t)

Individual Change: rv(t); rvse(t); iv(t); ralpha(t); pralpha(t)

Percentage Agreement: pa(t)

Summary for Svensson's Method: sresult(t)

Reference manual

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install.packages("svenssonm")

0.1.0 by Yingyan Zhu, 9 years ago


Browse source code at https://github.com/cran/svenssonm


Authors: Yingyan Zhu [aut, cre]


Documentation:   PDF Manual  


GPL-3 license



See at CRAN