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R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Mon, 21 Oct 2013 12:58:47 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/21/t1382374752fbjcszxekr5jd0b.htm/, Retrieved Mon, 29 Apr 2024 06:52:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=217622, Retrieved Mon, 29 Apr 2024 06:52:49 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Survey Scores] [Intrinsic Motivat...] [2010-10-12 11:18:40] [b98453cac15ba1066b407e146608df68]
- R PD    [Survey Scores] [Kendall Tau Corre...] [2013-10-21 16:58:47] [b86744663ec671173a5f381479557f00] [Current]

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7	7	4	5	7	1	4	5	4	7	5	7
6	6	6	6	5	3	5	4	5	5	5	5
6	6	5	5	5	4	4	5	4	6	5	5
5	6	4	5	5	5	5	6	3	6	6	6
6	6	6	6	5	5	5	5	6	6	6	6
7	7	6	7	7	7	7	7	5	5	5	7
7	7	7	7	7	1	4	7	5	7	5	6
7	7	6	7	5	5	6	6	1	6	6	7
7	6	5	6	3	2	4	7	4	7	7	7
6	6	5	6	6	3	3	6	5	6	6	6
4	7	7	6	7	6	5	7	6	7	7	7
6	7	7	7	6	4	2	5	7	7	6	7
6	7	7	7	5	3	3	3	5	6	6	5
7	7	7	7	3	3	3	2	6	6	6	6
6	7	7	7	7	6	7	7	5	7	6	7
6	6	6	5	5	5	5	5	4	6	6	6
4	7	6	7	7	5	5	5	7	7	7	7
7	7	7	7	7	5	4	6	7	7	7	7
7	7	7	6	7	1	6	7	6	7	7	7
6	7	6	6	6	5	6	6	6	7	6	6
3	5	5	6	5	3	4	5	2	5	5	4
7	4	7	6	7	4	6	7	7	7	7	7
5	6	5	4	4	2	3	5	5	5	5	6
7	7	7	7	7	3	2	5	4	6	7	7
6	7	6	7	7	5	5	6	7	7	6	7
5	7	6	5	7	5	5	7	1	6	2	5
5	7	6	5	7	5	5	7	1	6	2	5
6	6	2	6	3	2	1	2	7	6	7	7
5	2	2	2	7	4	5	6	4	6	4	6
6	6	5	7	5	6	6	6	5	6	4	6
6	7	6	6	7	6	5	7	5	6	5	6
5	6	6	6	5	4	6	6	5	5	5	6
4	4	4	6	5	6	7	6	4	3	4	1
5	5	4	6	4	3	4	4	5	3	7	5
4	5	5	6	5	6	5	6	5	5	7	7
6	6	6	6	6	3	6	6	4	6	4	5
6	7	5	5	7	4	7	7	7	7	7	7
7	6	6	6	5	4	2	5	7	7	4	5
7	7	7	7	7	7	7	7	7	7	6	7
7	6	7	6	7	5	5	6	4	6	6	6
7	7	5	7	6	5	5	5	7	7	6	7
5	6	6	6	6	4	5	6	7	7	6	6
6	5	5	6	7	6	6	7	4	6	6	6
6	6	6	6	7	4	5	6	3	6	7	5
3	7	5	6	6	4	5	6	2	5	6	6
6	5	4	5	6	2	4	6	6	6	6	6
5	6	5	6	4	3	2	3	4	6	4	5
4	5	6	5	7	6	6	6	5	7	7	7
6	6	6	7	5	4	4	4	4	6	6	6
6	6	3	5	6	6	6	6	7	7	7	7
6	6	4	6	5	3	3	4	4	6	6	5
5	7	6	5	3	4	3	3	6	5	7	5
6	6	6	7	7	5	7	7	7	7	7	7
5	6	5	7	6	2	4	4	1	4	2	3
7	5	5	6	6	7	4	7	5	7	6	6
6	5	5	6	5	6	5	5	4	5	6	6
6	6	6	6	5	5	5	5	5	6	5	5
7	7	6	5	7	1	2	4	5	7	6	6
4	5	6	6	7	6	6	6	5	7	6	6
3	4	4	1	7	6	6	6	5	7	6	7
4	6	3	4	6	2	5	7	5	7	6	7
4	6	5	5	6	5	6	5	5	6	6	6
5	7	5	6	7	5	4	4	6	6	4	5
4	5	7	7	7	6	6	7	3	6	3	4
6	5	5	4	5	5	4	4	4	4	4	5
7	7	7	7	7	4	4	7	6	6	7	6
6	6	6	6	6	6	6	6	6	6	6	6
6	7	6	5	5	2	4	6	3	7	6	7
6	6	6	6	6	6	6	6	5	7	7	6
6	6	6	6	5	5	5	5	2	7	7	7
7	7	7	7	5	4	5	5	7	7	7	7
6	7	6	6	6	2	6	6	7	7	5	7
6	6	5	4	6	2	2	5	4	6	6	6
6	6	7	6	6	5	6	6	6	5	3	5
7	6	6	6	7	6	7	6	6	7	6	7
5	4	4	5	6	6	5	5	3	5	5	5
4	4	4	5	5	5	5	5	3	5	5	5
7	7	6	6	7	5	6	6	6	7	6	6
7	7	7	7	7	5	7	7	7	7	6	7
6	4	6	5	6	5	5	5	3	2	4	3
7	7	6	7	7	5	6	7	1	6	4	4
6	6	5	5	6	3	2	2	5	6	5	5
5	6	5	5	6	4	5	5	5	6	6	6
7	6	5	7	7	3	6	6	5	6	5	6
6	6	5	5	6	4	6	7	5	5	5	6
5	7	6	5	7	7	7	7	6	6	6	6
6	6	7	7	7	5	5	5	6	7	7	7
5	4	5	5	5	5	5	5	5	5	5	7
7	7	7	4	3	1	1	1	7	7	7	7
6	6	3	6	6	4	5	6	6	6	7	7
2	2	4	5	6	4	5	5	1	5	2	2
5	6	6	7	5	3	4	6	3	6	5	5
7	6	7	5	6	5	5	7	5	7	4	6
7	6	7	6	6	5	3	6	1	7	7	6
7	6	6	6	6	6	6	6	6	6	6	6
7	7	7	4	7	5	5	5	4	7	7	7
6	6	4	6	6	3	6	6	5	6	5	5
5	6	5	5	6	3	4	5	5	5	5	5
6	6	5	6	6	4	5	6	6	5	4	6
6	6	7	6	7	5	5	6	5	6	7	6
5	7	6	6	6	5	6	6	5	6	5	7
7	7	3	4	5	3	2	5	4	6	4	4
5	5	5	6	5	5	6	5	6	6	6	6
6	6	6	7	6	6	6	6	6	6	6	6
5	7	5	5	6	6	5	6	4	5	5	5
5	5	5	5	6	5	5	5	5	5	5	5
5	5	5	5	5	4	6	6	5	5	3	5
5	6	5	7	6	4	4	6	2	7	5	6
7	7	7	7	4	2	4	1	7	7	6	7
6	6	6	5	6	3	6	7	5	6	6	6
7	7	7	7	7	6	7	7	5	7	7	7
6	6	6	6	7	6	6	6	2	7	7	7
5	5	4	4	5	6	3	4	3	4	5	5
5	5	5	5	5	5	5	5	5	5	5	6
7	7	7	7	7	6	5	6	5	7	6	7
6	5	5	5	3	2	2	3	5	7	4	7
5	6	6	4	7	6	7	7	6	7	7	7
7	7	5	6	5	5	5	6	6	6	5	7
4	6	2	7	7	3	5	6	4	5	6	5
3	6	4	5	5	5	2	6	6	7	7	7
7	4	5	5	3	4	3	5	3	4	7	7
5	6	5	6	6	6	6	6	6	6	6	6
6	5	6	7	5	5	6	6	4	6	6	5
4	4	4	3	4	4	3	3	3	3	4	5
7	7	7	7	7	7	7	7	4	7	7	7
7	7	6	6	6	2	5	5	6	6	6	7
5	6	6	6	7	6	7	6	4	7	5	6
7	7	6	6	2	6	4	5	6	6	6	6
3	6	5	6	5	4	5	5	5	5	5	6
6	5	5	6	6	4	6	6	5	6	5	6
5	5	5	5	6	3	4	5	5	6	6	6
5	6	6	6	6	6	6	6	3	7	6	6
6	6	4	6	2	5	3	5	5	6	4	5
5	7	6	6	6	6	3	3	4	7	6	6
6	6	5	6	7	6	6	7	5	6	7	7
6	5	5	6	4	1	3	3	5	6	6	6
7	7	5	7	7	5	7	7	1	7	7	7
5	5	6	7	7	4	5	5	4	7	7	7
7	7	7	6	6	6	5	6	7	7	6	6
6	5	6	6	6	6	5	6	4	7	5	6
6	5	5	5	2	5	4	4	6	6	5	7
7	7	6	6	7	4	5	6	7	7	5	5
7	4	6	6	7	5	7	7	6	7	7	5
5	6	4	6	5	4	3	4	5	6	3	6
7	7	6	7	5	3	6	6	6	7	6	7
5	5	4	5	6	3	4	5	5	6	5	5
6	5	6	6	5	6	5	6	5	7	7	7
7	6	6	6	6	2	4	4	6	6	4	5
6	5	6	6	6	4	4	5	5	5	6	6
5	6	5	6	6	4	5	5	3	4	4	5
6	7	5	4	5	4	5	5	6	7	6	7
7	7	5	6	6	5	6	6	7	7	7	7
6	7	6	6	7	3	7	7	4	5	4	5
7	7	7	7	7	5	6	7	5	7	6	7
7	7	7	7	6	4	5	6	4	6	7	6
6	4	4	6	6	4	5	6	5	5	5	6
6	7	6	6	6	6	6	5	2	6	6	6
4	7	4	4	7	7	6	7	7	7	4	7
7	6	7	5	6	5	5	7	5	7	4	6
6	6	4	6	5	4	3	6	4	6	6	5
4	5	4	5	5	3	4	4	2	5	4	5
5	5	5	5	5	1	5	5	4	6	3	5

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217622&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217622&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217622&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	1.77	294	7	0.95	142	6	0.92
2	1.99	326	4	0.98	149	2	0.97
3	1.49	252	10	0.92	134	7	0.9
4	1.78	295	6	0.96	148	3	0.96
5	1.8	304	13	0.92	146	10	0.87
6	0.38	132	70	0.31	85	43	0.33
7	0.86	181	41	0.63	109	27	0.6
8	1.52	265	19	0.87	137	12	0.84
9	0.79	179	51	0.56	104	28	0.58
10	2.08	342	5	0.97	153	4	0.95
11	1.56	266	13	0.91	131	9	0.87
12	1.96	325	7	0.96	154	4	0.95

\begin{tabular}{lllllllll}
\hline
Summary of survey scores (median of Likert score was subtracted) \tabularnewline
Question & mean & Sum ofpositives (Ps) & Sum ofnegatives (Ns) & (Ps-Ns)/(Ps+Ns) & Count ofpositives (Pc) & Count ofnegatives (Nc) & (Pc-Nc)/(Pc+Nc) \tabularnewline
1 & 1.77 & 294 & 7 & 0.95 & 142 & 6 & 0.92 \tabularnewline
2 & 1.99 & 326 & 4 & 0.98 & 149 & 2 & 0.97 \tabularnewline
3 & 1.49 & 252 & 10 & 0.92 & 134 & 7 & 0.9 \tabularnewline
4 & 1.78 & 295 & 6 & 0.96 & 148 & 3 & 0.96 \tabularnewline
5 & 1.8 & 304 & 13 & 0.92 & 146 & 10 & 0.87 \tabularnewline
6 & 0.38 & 132 & 70 & 0.31 & 85 & 43 & 0.33 \tabularnewline
7 & 0.86 & 181 & 41 & 0.63 & 109 & 27 & 0.6 \tabularnewline
8 & 1.52 & 265 & 19 & 0.87 & 137 & 12 & 0.84 \tabularnewline
9 & 0.79 & 179 & 51 & 0.56 & 104 & 28 & 0.58 \tabularnewline
10 & 2.08 & 342 & 5 & 0.97 & 153 & 4 & 0.95 \tabularnewline
11 & 1.56 & 266 & 13 & 0.91 & 131 & 9 & 0.87 \tabularnewline
12 & 1.96 & 325 & 7 & 0.96 & 154 & 4 & 0.95 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217622&T=1

[TABLE]
[ROW][C]Summary of survey scores (median of Likert score was subtracted)[/C][/ROW]
[ROW][C]Question[/C][C]mean[/C][C]Sum ofpositives (Ps)[/C][C]Sum ofnegatives (Ns)[/C][C](Ps-Ns)/(Ps+Ns)[/C][C]Count ofpositives (Pc)[/C][C]Count ofnegatives (Nc)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]1[/C][C]1.77[/C][C]294[/C][C]7[/C][C]0.95[/C][C]142[/C][C]6[/C][C]0.92[/C][/ROW]
[ROW][C]2[/C][C]1.99[/C][C]326[/C][C]4[/C][C]0.98[/C][C]149[/C][C]2[/C][C]0.97[/C][/ROW]
[ROW][C]3[/C][C]1.49[/C][C]252[/C][C]10[/C][C]0.92[/C][C]134[/C][C]7[/C][C]0.9[/C][/ROW]
[ROW][C]4[/C][C]1.78[/C][C]295[/C][C]6[/C][C]0.96[/C][C]148[/C][C]3[/C][C]0.96[/C][/ROW]
[ROW][C]5[/C][C]1.8[/C][C]304[/C][C]13[/C][C]0.92[/C][C]146[/C][C]10[/C][C]0.87[/C][/ROW]
[ROW][C]6[/C][C]0.38[/C][C]132[/C][C]70[/C][C]0.31[/C][C]85[/C][C]43[/C][C]0.33[/C][/ROW]
[ROW][C]7[/C][C]0.86[/C][C]181[/C][C]41[/C][C]0.63[/C][C]109[/C][C]27[/C][C]0.6[/C][/ROW]
[ROW][C]8[/C][C]1.52[/C][C]265[/C][C]19[/C][C]0.87[/C][C]137[/C][C]12[/C][C]0.84[/C][/ROW]
[ROW][C]9[/C][C]0.79[/C][C]179[/C][C]51[/C][C]0.56[/C][C]104[/C][C]28[/C][C]0.58[/C][/ROW]
[ROW][C]10[/C][C]2.08[/C][C]342[/C][C]5[/C][C]0.97[/C][C]153[/C][C]4[/C][C]0.95[/C][/ROW]
[ROW][C]11[/C][C]1.56[/C][C]266[/C][C]13[/C][C]0.91[/C][C]131[/C][C]9[/C][C]0.87[/C][/ROW]
[ROW][C]12[/C][C]1.96[/C][C]325[/C][C]7[/C][C]0.96[/C][C]154[/C][C]4[/C][C]0.95[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217622&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217622&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	1.77	294	7	0.95	142	6	0.92
2	1.99	326	4	0.98	149	2	0.97
3	1.49	252	10	0.92	134	7	0.9
4	1.78	295	6	0.96	148	3	0.96
5	1.8	304	13	0.92	146	10	0.87
6	0.38	132	70	0.31	85	43	0.33
7	0.86	181	41	0.63	109	27	0.6
8	1.52	265	19	0.87	137	12	0.84
9	0.79	179	51	0.56	104	28	0.58
10	2.08	342	5	0.97	153	4	0.95
11	1.56	266	13	0.91	131	9	0.87
12	1.96	325	7	0.96	154	4	0.95

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.964 (0)	0.968 (0)
(Ps-Ns)/(Ps+Ns)	0.964 (0)	1 (0)	0.996 (0)
(Pc-Nc)/(Pc+Nc)	0.968 (0)	0.996 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Pearson correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.964 (0) & 0.968 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.964 (0) & 1 (0) & 0.996 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.968 (0) & 0.996 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217622&T=2

[TABLE]
[ROW][C]Pearson correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.964 (0)[/C][C]0.968 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.964 (0)[/C][C]1 (0)[/C][C]0.996 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.968 (0)[/C][C]0.996 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217622&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217622&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.964 (0)	0.968 (0)
(Ps-Ns)/(Ps+Ns)	0.964 (0)	1 (0)	0.996 (0)
(Pc-Nc)/(Pc+Nc)	0.968 (0)	0.996 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.831 (0)	0.739 (0.001)
(Ps-Ns)/(Ps+Ns)	0.831 (0)	1 (0)	0.937 (0)
(Pc-Nc)/(Pc+Nc)	0.739 (0.001)	0.937 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.831 (0) & 0.739 (0.001) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.831 (0) & 1 (0) & 0.937 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.739 (0.001) & 0.937 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217622&T=3

[TABLE]
[ROW][C]Kendall tau rank correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.831 (0)[/C][C]0.739 (0.001)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.831 (0)[/C][C]1 (0)[/C][C]0.937 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.739 (0.001)[/C][C]0.937 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217622&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217622&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.831 (0)	0.739 (0.001)
(Ps-Ns)/(Ps+Ns)	0.831 (0)	1 (0)	0.937 (0)
(Pc-Nc)/(Pc+Nc)	0.739 (0.001)	0.937 (0)	1 (0)

Parameters (Session):

par1 = 1 2 3 4 5 6 7 ;

Parameters (R input):

par1 = 1 2 3 4 5 6 7 ;

R code (references can be found in the software module):

docor <- function(x,y,method) {
r <- cor.test(x,y,method=method)
paste(round(r$estimate,3),' (',round(r$p.value,3),')',sep='')
}
x <- t(x)
nx <- length(x[,1])
cx <- length(x[1,])
mymedian <- median(as.numeric(strsplit(par1,' ')[[1]]))
myresult <- array(NA, dim = c(cx,7))
rownames(myresult) <- paste('Q',1:cx,sep='')
colnames(myresult) <- c('mean','Sum of
positives (Ps)','Sum of
negatives (Ns)', '(Ps-Ns)/(Ps+Ns)', 'Count of
positives (Pc)', 'Count of
negatives (Nc)', '(Pc-Nc)/(Pc+Nc)')
for (i in 1:cx) {
spos <- 0
sneg <- 0
cpos <- 0
cneg <- 0
for (j in 1:nx) {
if (!is.na(x[j,i])) {
myx <- as.numeric(x[j,i]) - mymedian
if (myx > 0) {
spos = spos + myx
cpos = cpos + 1
}
if (myx < 0) {
sneg = sneg + abs(myx)
cneg = cneg + 1
}
}
}
myresult[i,1] <- round(mean(as.numeric(x[,i]),na.rm=T)-mymedian,2)
myresult[i,2] <- spos
myresult[i,3] <- sneg
myresult[i,4] <- round((spos - sneg) / (spos + sneg),2)
myresult[i,5] <- cpos
myresult[i,6] <- cneg
myresult[i,7] <- round((cpos - cneg) / (cpos + cneg),2)
}
myresult
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of survey scores (median of Likert score was subtracted)',8,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Question',header=TRUE)
for (i in 1:7) {
a<-table.element(a,colnames(myresult)[i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:cx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
for (j in 1:7) {
a<-table.element(a,myresult[i,j],align='right')
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code