| Type: | Package |
| Title: | Svensson's Method |
| Version: | 0.1.0 |
| Description: | 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. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.0.1 |
| NeedsCompilation: | no |
| Packaged: | 2017-08-03 11:37:45 UTC; Yingyan |
| Author: | Yingyan Zhu [aut, cre] |
| Maintainer: | Yingyan Zhu <lexi.yy.zhu@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2017-08-03 14:32:01 UTC |
Contingency Table Generation
Description
Generate Contingency table for Svensson's Method
Usage
con_ta(x, y, level = 5)
Arguments
x |
a numeric vector of data values, each element range from 1 to level. |
y |
a numeric vector of data values, must have same length as x. |
level |
the dimension of the contingency table, the default is 5. |
Value
A contingency table based on x and y.
See Also
sresult for summary of Svensson's method analysis.
Examples
x <- c (1:5,5:1)
y <- c(1:5,1,1,5,4,1)
con_ta(x,y,)
Individual Change
Description
In Svensson's method, the individual change is described by the relative rank variance (RV), the observable part, and the internal rank variance (IV), the unobservable part, together. A measure of the closeness of observations to the rank transformable pattern of change is defined as the augmented correlation coefficient (ralpha) and its p-value.
Usage
rv(t)
rvse(t)
iv(t)
ralpha(t)
pralpha(t)
Arguments
t |
The contingency table for Svensson's method, a two-dimension matrix. |
Value
rv and iv give the RV and IV value. rvse gives the standard
error of RV. ralpha and pralpha give the augmented correlation coefficient
and the corresponding p-value.
See Also
con_ta for generating contingency table. syschange
for systematic change. sresult for summary of Svensson's method analysis.
Examples
x <- c (1:5,5:1)
y <- c(1:5,1,1,5,4,1)
z <- con_ta(x,y,)
rv(z)
rvse(z)
iv(z)
ralpha(z)
pralpha(z)
Percentage Agreement
Description
The percentage agreement (PA) which shows the proportion of the subjects who did not change their choices.
Usage
pa(t)
Arguments
t |
The contingency table for Svensson's method, a two-dimension matrix. |
Value
pa gives the PA value, multiply by 100 to get a percentage number.
See Also
con_ta for generating contingency table. sresult for summary of
Svensson's method analysis.
Examples
x <- c (1:5,5:1)
y <- c(1:5,1,1,5,4,1)
z <- con_ta(x,y,)
pa(z)
Summary for Svensson's Method
Description
List all the results for Svensson's Method. Including percentage agreement, systematic change and individual change.
Usage
sresult(t)
Arguments
t |
The contingency table for Svensson's method, a two-dimension matrix. |
Value
sresult lists the results for Svensson's method. PA for percentage agreement,
RP for relative position, RC for relative concentration, RV for relative rank variance,
SE(RP), SE(RC), SE(RV) for the corresponding standard error and CI(RP), CI(RC), CI(RV) for
the 95% confidence interval. IV for internal rank variance, R.Alpha for augmented correlation
coefficient, P.R.Alpha for the corresponding p-value (significant level 0.05).
See Also
con_ta for generating contingency table.
Examples
x <- c (1:5,5:1)
y <- c(1:5,1,1,5,4,1)
z <- con_ta(x,y,)
sresult(z)
Systematic Change
Description
The value and the standard error of relative position (RP), the systematic change in position between the two ordered categorical classification. Also, the value and the standard error of relative concentration (RC), a comprehensive evaluation of the systematic change.
Usage
rp(t)
rpse(t)
rc(t)
rcse(t)
Arguments
t |
The contingency table for Svensson's method, a two-dimension matrix. |
Value
rp and rc give the RP and RC value. rpse and rcse
give the standard error of RP and RC.
See Also
con_ta for generating contingency table. indichange
for individual change. sresult for summary of Svensson's method analysis.
Examples
x <- c (1:5,5:1)
y <- c(1:5,1,1,5,4,1)
z <- con_ta(x,y,)
rp(z)
rpse(z)
rc(z)
rcse(z)