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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1dm.wasp

Title produced by software

Notched Boxplots

Date of computation

Sun, 29 Apr 2012 06:08:55 -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/2012/Apr/29/t1335699749zzmm9lbxivynbvj.htm/, Retrieved Sat, 04 May 2024 09:23:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=165127, Retrieved Sat, 04 May 2024 09:23:35 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

126

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

-     [Hierarchical Clustering] [] [2012-04-26 12:52:58] [729e3e98c2c68b03161978d53cee5b12]
- RMP     [Notched Boxplots] [] [2012-04-29 10:08:55] [685fae5a377cc1dc51f9f02306b751ce] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165127&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165127&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165127&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	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
U1	2	3	4	4	5
U2	2	3	4	4	5
U3	2	3	4	4	5
U4	4	4	4	4	4
U5	2	3	4	4	5
U6	2	3	4	4	5
U7	2	3	4	4	5
U8	2	3	4	4	5
U9	2	3	4	4	5
U10	1	2	3	3	4
U11	2	3	3	4	5
U12	2	3	3	4	5
U13	1	2	3	4	5
U14	1	2	3	4	5
U15	2	3	4	4	5
U16	2	3	4	4	5
U17	2	3	3	4	5
U18	2	3	3	4	5
U19	2	3	4	4	5
U20	2	3	4	4	5
U21	1	3	4	5	5
U22	1	3	4	5	5
U23	2	3	4	4	5
U24	2	3	4	4	5
U25	1	2	2	3	4
U26	2	3	4	4	5
U27	3	4	4	5	5
U28	0	3	4	5	5
U29	1	3	4	5	5
U30	2	3	4	4	5
U31	2	3	4	4	5
U32	2	3	4	4	5
U33	1	3	4	5	5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
U1 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U2 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U3 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U4 & 4 & 4 & 4 & 4 & 4 \tabularnewline
U5 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U6 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U7 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U8 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U9 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U10 & 1 & 2 & 3 & 3 & 4 \tabularnewline
U11 & 2 & 3 & 3 & 4 & 5 \tabularnewline
U12 & 2 & 3 & 3 & 4 & 5 \tabularnewline
U13 & 1 & 2 & 3 & 4 & 5 \tabularnewline
U14 & 1 & 2 & 3 & 4 & 5 \tabularnewline
U15 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U16 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U17 & 2 & 3 & 3 & 4 & 5 \tabularnewline
U18 & 2 & 3 & 3 & 4 & 5 \tabularnewline
U19 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U20 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U21 & 1 & 3 & 4 & 5 & 5 \tabularnewline
U22 & 1 & 3 & 4 & 5 & 5 \tabularnewline
U23 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U24 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U25 & 1 & 2 & 2 & 3 & 4 \tabularnewline
U26 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U27 & 3 & 4 & 4 & 5 & 5 \tabularnewline
U28 & 0 & 3 & 4 & 5 & 5 \tabularnewline
U29 & 1 & 3 & 4 & 5 & 5 \tabularnewline
U30 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U31 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U32 & 2 & 3 & 4 & 4 & 5 \tabularnewline
U33 & 1 & 3 & 4 & 5 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165127&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]U1[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U2[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U3[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]U5[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U6[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U7[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U8[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U9[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U10[/C][C]1[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][/ROW]
[ROW][C]U11[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U12[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U13[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U14[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U15[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U16[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U17[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U18[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U19[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U20[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U21[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]U22[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]U23[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U24[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U25[/C][C]1[/C][C]2[/C][C]2[/C][C]3[/C][C]4[/C][/ROW]
[ROW][C]U26[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U27[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]U28[/C][C]0[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]U29[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]U30[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U31[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U32[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]U33[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165127&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165127&T=1

As an alternative you can also use a QR Code:

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

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
U1	2	3	4	4	5
U2	2	3	4	4	5
U3	2	3	4	4	5
U4	4	4	4	4	4
U5	2	3	4	4	5
U6	2	3	4	4	5
U7	2	3	4	4	5
U8	2	3	4	4	5
U9	2	3	4	4	5
U10	1	2	3	3	4
U11	2	3	3	4	5
U12	2	3	3	4	5
U13	1	2	3	4	5
U14	1	2	3	4	5
U15	2	3	4	4	5
U16	2	3	4	4	5
U17	2	3	3	4	5
U18	2	3	3	4	5
U19	2	3	4	4	5
U20	2	3	4	4	5
U21	1	3	4	5	5
U22	1	3	4	5	5
U23	2	3	4	4	5
U24	2	3	4	4	5
U25	1	2	2	3	4
U26	2	3	4	4	5
U27	3	4	4	5	5
U28	0	3	4	5	5
U29	1	3	4	5	5
U30	2	3	4	4	5
U31	2	3	4	4	5
U32	2	3	4	4	5
U33	1	3	4	5	5

Boxplot Notches
Variable	lower bound	median	upper bound
U1	3.90066625107302	4	4.09933374892698
U2	3.90066625107302	4	4.09933374892698
U3	3.90066625107302	4	4.09933374892698
U4	4	4	4
U5	3.90066625107302	4	4.09933374892698
U6	3.90066625107302	4	4.09933374892698
U7	3.90066625107302	4	4.09933374892698
U8	3.90066625107302	4	4.09933374892698
U9	3.90066625107302	4	4.09933374892698
U10	2.90066625107302	3	3.09933374892698
U11	2.90066625107302	3	3.09933374892698
U12	2.90066625107302	3	3.09933374892698
U13	2.80133250214603	3	3.19866749785397
U14	2.80133250214603	3	3.19866749785397
U15	3.90066625107302	4	4.09933374892698
U16	3.90066625107302	4	4.09933374892698
U17	2.90066625107302	3	3.09933374892698
U18	2.90066625107302	3	3.09933374892698
U19	3.90066625107302	4	4.09933374892698
U20	3.90066625107302	4	4.09933374892698
U21	3.80133250214603	4	4.19866749785397
U22	3.80133250214603	4	4.19866749785397
U23	3.90066625107302	4	4.09933374892698
U24	3.90066625107302	4	4.09933374892698
U25	1.90066625107301	2	2.09933374892698
U26	3.90066625107302	4	4.09933374892698
U27	3.90066625107302	4	4.09933374892698
U28	3.80133250214603	4	4.19866749785397
U29	3.80133250214603	4	4.19866749785397
U30	3.90066625107302	4	4.09933374892698
U31	3.90066625107302	4	4.09933374892698
U32	3.90066625107302	4	4.09933374892698
U33	3.80133250214603	4	4.19866749785397

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
U1 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U2 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U3 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U4 & 4 & 4 & 4 \tabularnewline
U5 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U6 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U7 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U8 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U9 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U10 & 2.90066625107302 & 3 & 3.09933374892698 \tabularnewline
U11 & 2.90066625107302 & 3 & 3.09933374892698 \tabularnewline
U12 & 2.90066625107302 & 3 & 3.09933374892698 \tabularnewline
U13 & 2.80133250214603 & 3 & 3.19866749785397 \tabularnewline
U14 & 2.80133250214603 & 3 & 3.19866749785397 \tabularnewline
U15 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U16 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U17 & 2.90066625107302 & 3 & 3.09933374892698 \tabularnewline
U18 & 2.90066625107302 & 3 & 3.09933374892698 \tabularnewline
U19 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U20 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U21 & 3.80133250214603 & 4 & 4.19866749785397 \tabularnewline
U22 & 3.80133250214603 & 4 & 4.19866749785397 \tabularnewline
U23 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U24 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U25 & 1.90066625107301 & 2 & 2.09933374892698 \tabularnewline
U26 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U27 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U28 & 3.80133250214603 & 4 & 4.19866749785397 \tabularnewline
U29 & 3.80133250214603 & 4 & 4.19866749785397 \tabularnewline
U30 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U31 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U32 & 3.90066625107302 & 4 & 4.09933374892698 \tabularnewline
U33 & 3.80133250214603 & 4 & 4.19866749785397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165127&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]U1[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U2[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U3[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]U5[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U6[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U7[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U8[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U9[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U10[/C][C]2.90066625107302[/C][C]3[/C][C]3.09933374892698[/C][/ROW]
[ROW][C]U11[/C][C]2.90066625107302[/C][C]3[/C][C]3.09933374892698[/C][/ROW]
[ROW][C]U12[/C][C]2.90066625107302[/C][C]3[/C][C]3.09933374892698[/C][/ROW]
[ROW][C]U13[/C][C]2.80133250214603[/C][C]3[/C][C]3.19866749785397[/C][/ROW]
[ROW][C]U14[/C][C]2.80133250214603[/C][C]3[/C][C]3.19866749785397[/C][/ROW]
[ROW][C]U15[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U16[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U17[/C][C]2.90066625107302[/C][C]3[/C][C]3.09933374892698[/C][/ROW]
[ROW][C]U18[/C][C]2.90066625107302[/C][C]3[/C][C]3.09933374892698[/C][/ROW]
[ROW][C]U19[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U20[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U21[/C][C]3.80133250214603[/C][C]4[/C][C]4.19866749785397[/C][/ROW]
[ROW][C]U22[/C][C]3.80133250214603[/C][C]4[/C][C]4.19866749785397[/C][/ROW]
[ROW][C]U23[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U24[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U25[/C][C]1.90066625107301[/C][C]2[/C][C]2.09933374892698[/C][/ROW]
[ROW][C]U26[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U27[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U28[/C][C]3.80133250214603[/C][C]4[/C][C]4.19866749785397[/C][/ROW]
[ROW][C]U29[/C][C]3.80133250214603[/C][C]4[/C][C]4.19866749785397[/C][/ROW]
[ROW][C]U30[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U31[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U32[/C][C]3.90066625107302[/C][C]4[/C][C]4.09933374892698[/C][/ROW]
[ROW][C]U33[/C][C]3.80133250214603[/C][C]4[/C][C]4.19866749785397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165127&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165127&T=2

As an alternative you can also use a QR Code:

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

Boxplot Notches
Variable	lower bound	median	upper bound
U1	3.90066625107302	4	4.09933374892698
U2	3.90066625107302	4	4.09933374892698
U3	3.90066625107302	4	4.09933374892698
U4	4	4	4
U5	3.90066625107302	4	4.09933374892698
U6	3.90066625107302	4	4.09933374892698
U7	3.90066625107302	4	4.09933374892698
U8	3.90066625107302	4	4.09933374892698
U9	3.90066625107302	4	4.09933374892698
U10	2.90066625107302	3	3.09933374892698
U11	2.90066625107302	3	3.09933374892698
U12	2.90066625107302	3	3.09933374892698
U13	2.80133250214603	3	3.19866749785397
U14	2.80133250214603	3	3.19866749785397
U15	3.90066625107302	4	4.09933374892698
U16	3.90066625107302	4	4.09933374892698
U17	2.90066625107302	3	3.09933374892698
U18	2.90066625107302	3	3.09933374892698
U19	3.90066625107302	4	4.09933374892698
U20	3.90066625107302	4	4.09933374892698
U21	3.80133250214603	4	4.19866749785397
U22	3.80133250214603	4	4.19866749785397
U23	3.90066625107302	4	4.09933374892698
U24	3.90066625107302	4	4.09933374892698
U25	1.90066625107301	2	2.09933374892698
U26	3.90066625107302	4	4.09933374892698
U27	3.90066625107302	4	4.09933374892698
U28	3.80133250214603	4	4.19866749785397
U29	3.80133250214603	4	4.19866749785397
U30	3.90066625107302	4	4.09933374892698
U31	3.90066625107302	4	4.09933374892698
U32	3.90066625107302	4	4.09933374892698
U33	3.80133250214603	4	4.19866749785397

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = male ; par3 = all ; par4 = all ; par5 = CSUQ ;

Parameters (R input):

par1 = grey ; par2 = male ; par3 = all ; par4 = all ; par5 = CSUQ ;

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

x <- as.data.frame(read.table(file='https://automated.biganalytics.eu/download/utaut.csv',sep=',',header=T))
x$U25 <- 6-x$U25
if(par2 == 'female') x <- x[x$Gender==0,]
if(par2 == 'male') x <- x[x$Gender==1,]
if(par3 == 'prep') x <- x[x$Pop==1,]
if(par3 == 'bachelor') x <- x[x$Pop==0,]
if(par4 != 'all') {
x <- x[x$Year==as.numeric(par4),]
}
cAc <- with(x,cbind( A1, A2, A3, A4, A5, A6, A7, A8, A9,A10))
cAs <- with(x,cbind(A11,A12,A13,A14,A15,A16,A17,A18,A19,A20))
cA <- cbind(cAc,cAs)
cCa <- with(x,cbind(C1,C3,C5,C7, C9,C11,C13,C15,C17,C19,C21,C23,C25,C27,C29,C31,C33,C35,C37,C39,C41,C43,C45,C47))
cCp <- with(x,cbind(C2,C4,C6,C8,C10,C12,C14,C16,C18,C20,C22,C24,C26,C28,C30,C32,C34,C36,C38,C40,C42,C44,C46,C48))
cC <- cbind(cCa,cCp)
cU <- with(x,cbind(U1,U2,U3,U4,U5,U6,U7,U8,U9,U10,U11,U12,U13,U14,U15,U16,U17,U18,U19,U20,U21,U22,U23,U24,U25,U26,U27,U28,U29,U30,U31,U32,U33))
cE <- with(x,cbind(BC,NNZFG,MRT,AFL,LPM,LPC,W,WPA))
cX <- with(x,cbind(X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18))
if (par5=='ATTLES connected') x <- cAc
if (par5=='ATTLES separate') x <- cAs
if (par5=='ATTLES all') x <- cA
if (par5=='COLLES actuals') x <- cCa
if (par5=='COLLES preferred') x <- cCp
if (par5=='COLLES all') x <- cC
if (par5=='CSUQ') x <- cU
if (par5=='Learning Activities') x <- cE
if (par5=='Exam Items') x <- cX
ncol <- length(x[1,])
for (jjj in 1:ncol) {
x <- x[!is.na(x[,jjj]),]
}
x <- t(x)
y <- x
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
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,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code