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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 08 Dec 2014 12:47:35 +0000

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/2014/Dec/08/t14180428989w4n2lmd3h2r7hq.htm/, Retrieved Sun, 19 May 2024 08:44:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263968, Retrieved Sun, 19 May 2024 08:44:55 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

103

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

-       [Histogram] [competees] [2014-12-08 12:47:35] [9557b7dfc2876fcd252dfc34a3b16021] [Current]

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Dataseries X:

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Histogram

Boxplots

7	2	4	0	0	2
7	3	3	2	0	1
8	6	6	1	0	2
7	6	5	1	0	2
8	2	5	1	0	2
8	7	6	2	2	0
3	2	4	0	0	0
9	10	6	1	2	2
8	4	5	2	0	1
8	4	6	3	0	2
6	2	5	2	0	1
5	4	4	1	0	2
8	4	4	0	1	2
8	6	6	2	1	2
8	7	6	2	1	1
9	2	4	2	0	1
7	6	6	3	0	1
7	3	6	3	1	1
3	3	3	1	0	0
7	2	4	0	1	0
8	5	5	2	1	1
8	7	6	2	1	2
7	6	6	2	1	1
8	4	6	2	1	2
8	6	6	1	1	2
9	4	6	3	0	2
6	3	5	2	0	2
9	5	5	2	1	1
8	2	3	0	0	2
8	3	5	0	1	2
8	5	1	0	0	2
7	7	5	3	1	2
8	4	6	2	2	1
7	3	6	0	0	1
7	2	4	2	2	2
9	5	6	0	0	1
7	4	6	0	1	0
9	6	6	2	2	2
7	4	5	3	0	2
6	4	2	0	0	1
3	2	2	1	0	0
9	9	6	2	1	2
9	8	6	2	2	1
7	8	5	0	1	2
6	3	6	3	1	2
9	2	5	2	0	1
8	4	4	0	1	2
8	2	5	3	0	2
7	2	4	2	1	2
9	1	5	2	0	2
5	4	4	3	1	0
6	5	6	0	1	1
8	8	5	1	1	2
8	4	4	2	0	1
8	6	5	1	1	1
8	5	5	2	1	2
9	6	6	2	1	2
7	3	4	0	0	0
8	8	6	3	1	2
9	4	2	0	1	0
9	6	5	2	1	1
8	4	6	1	0	1
4	3	5	0	0	0
7	8	5	0	2	2
8	6	3	1	2	2
6	3	3	0	0	0
7	5	5	2	1	2
7	4	6	1	0	2
3	3	2	2	0	0
8	7	6	1	0	1
8	2	4	1	1	1
8	4	5	3	0	2
8	6	6	2	1	1
5	6	5	0	0	2
6	6	5	2	1	1
6	4	6	1	1	2
7	6	5	0	0	2
7	5	6	1	1	2
7	5	5	0	0	2
8	6	4	0	0	2
9	8	5	1	1	2
8	5	5	2	2	1
8	6	5	2	1	2
7	4	5	2	1	2
9	3	4	2	1	2
7	3	5	3	0	1
6	2	0	0	0	0
7	4	5	0	0	1
8	5	6	0	0	1
6	3	1	0	1	0
2	4	1	0	1	0
4	5	3	3	0	0
8	3	3	2	0	2
6	5	6	0	0	1
8	4	4	2	0	1
6	4	5	2	0	2
7	6	6	0	2	2
7	3	6	2	2	2
7	4	6	1	2	1
9	3	6	3	2	2
7	10	6	3	2	2
6	4	6	0	0	1
8	8	5	3	1	2
8	3	6	2	2	2
9	5	5	2	0	2
7	4	6	0	0	1
6	3	5	2	0	2
8	5	5	3	0	2
6	3	6	2	0	2
6	3	4	0	0	2
9	4	5	0	0	2
6	3	6	0	0	1
9	6	6	1	1	1
8	6	5	2	2	2
8	4	6	3	2	2
9	4	6	0	0	0
6	4	6	2	0	1
4	3	4	2	1	2
8	2	6	1	2	0
5	5	5	2	0	2
7	4	6	2	2	2
9	4	6	2	0	0
9	4	5	2	0	2
8	3	4	2	1	1
6	4	5	2	2	1
8	2	6	1	1	2
3	0	0	0	0	0
8	4	6	2	1	2
7	3	4	0	0	0
7	6	6	0	2	2
9	4	4	2	0	1
4	4	6	0	0	1
7	2	4	0	0	0
6	4	5	0	1	0
3	2	1	0	1	0
8	4	5	3	2	2
8	3	5	0	0	1
9	6	5	2	2	0
8	6	5	3	0	2
8	4	5	0	0	2
9	5	6	2	2	1
8	4	5	0	1	2
9	6	6	3	2	2
7	6	5	2	1	2
7	9	6	2	1	2
6	4	5	2	1	0
8	8	6	3	1	2
6	5	5	3	0	2
7	4	5	3	0	0
8	4	6	2	2	1
8	7	6	3	2	1
7	4	6	1	2	2
9	8	6	2	1	2
9	4	6	3	2	1
9	3	6	2	0	1
6	5	6	2	1	2
8	8	6	2	2	2
9	4	5	1	0	1
9	10	6	3	1	0
8	5	6	2	2	2
8	5	6	2	2	2
8	3	6	1	0	2
8	3	5	1	1	2
8	3	3	0	0	2
9	4	4	1	1	1
6	5	6	1	0	2
9	5	4	2	1	2
8	4	6	0	0	0
8	7	6	3	1	0
8	5	3	1	0	1
8	4	4	1	2	0
9	7	4	3	0	2
9	7	4	3	0	2
9	7	4	3	0	2
8	7	4	3	0	2
8	7	4	0	0	0
8	7	6	2	1	2
3	1	4	1	1	0
6	2	4	2	1	2
5	3	2	1	0	2
4	6	5	1	0	1
9	8	6	3	2	2
8	8	6	1	1	1
3	0	1	0	0	0
6	3	4	1	0	2
6	6	5	1	1	2
9	5	5	2	0	2
7	7	6	1	0	1
6	3	5	0	1	2
9	3	6	2	0	0
7	4	6	2	0	1
8	4	5	3	0	2
8	1	5	0	0	2
8	5	6	2	0	2
7	3	4	1	0	1
0	0	0	0	0	0
6	4	6	1	1	0
9	6	5	2	2	1
9	4	6	1	1	2
6	1	2	0	1	2
8	3	5	0	0	2
8	7	5	2	0	2
5	3	1	0	0	2
6	5	5	1	1	0
6	3	4	1	0	0
9	3	5	2	2	2
9	6	4	2	1	2
9	9	6	3	0	2
6	4	5	0	1	2
4	3	6	0	1	1
8	9	6	2	2	2
4	5	6	0	1	0
5	3	6	3	1	1
8	6	5	2	0	1
6	2	6	1	0	1
8	4	5	3	1	2
9	5	5	2	1	1
7	4	5	2	0	1
4	0	0	0	0	0
8	2	6	1	1	2
8	5	6	2	1	2
8	3	6	2	0	1
4	0	0	0	0	0
9	5	5	3	0	2
8	6	5	1	0	2
6	3	5	0	1	1
3	0	0	0	0	0
7	3	4	0	1	0
8	5	6	2	1	2
7	4	4	0	0	2
7	5	5	2	0	1
8	7	6	3	2	1
8	4	5	3	1	2
7	8	6	2	1	2
7	6	6	1	1	2
6	4	5	1	0	1
8	5	5	1	1	0
8	5	6	0	1	2
7	3	6	1	0	2
9	6	6	0	1	2
9	3	4	2	0	1
7	6	5	3	1	1
7	3	2	1	0	2
8	7	6	2	2	2
8	7	6	3	0	2
6	6	4	3	1	2
9	5	6	1	1	0
6	5	5	1	0	1
5	4	4	0	0	2
7	4	6	1	2	2
9	7	6	3	0	2
6	2	1	0	1	0
7	5	5	2	0	1
5	4	5	2	1	0
9	2	6	2	2	2
8	5	4	2	0	0
4	4	3	0	0	2
9	7	4	3	2	2
8	6	5	2	2	0
7	4	5	0	0	0
8	5	6	2	2	2
1	0	1	0	0	0
8	7	6	2	1	2
8	4	4	2	0	2
9	5	4	3	0	2
8	6	5	2	0	1
9	8	3	2	1	1
6	5	6	2	1	2
7	5	2	2	0	1
8	5	6	3	0	1
8	5	6	3	0	1
9	8	5	3	2	1
9	7	6	3	2	2
7	3	6	3	0	2
8	4	6	3	1	2
2	5	6	3	2	2
4	1	2	0	0	0
5	6	5	1	0	2
8	7	6	3	2	2
6	5	4	3	0	0
9	7	5	2	2	1
8	5	5	2	0	1
4	5	4	2	2	2
7	3	6	1	1	2
NA	NA	NA	NA	NA	NA
7	5	6	2	2	1
8	5	5	3	2	1
5	3	6	0	0	2
5	5	5	2	0	2
7	7	6	3	0	1
7	4	6	3	0	1
8	5	2	1	0	0
6	3	5	1	0	1
7	5	5	3	0	1
NA	NA	NA	NA	NA	NA
8	7	6	3	2	2
8	1	4	0	1	2
7	5	6	2	2	1
9	5	6	3	1	2
8	9	6	3	2	1
6	4	5	2	0	1
8	5	3	2	0	1
5	5	6	2	1	0
3	5	4	1	1	2
6	2	6	2	0	0
4	4	4	2	0	2
5	4	6	2	0	1
9	4	5	3	1	0
5	3	4	1	0	1
6	6	6	1	0	1
7	5	0	1	0	2
6	6	4	3	2	1
9	7	5	2	0	1
6	4	4	2	0	0
7	4	5	3	0	0
8	4	5	3	2	2
5	5	4	2	2	1
4	2	5	3	1	0
4	2	2	2	0	1
4	3	6	1	0	1
5	6	2	1	2	1
4	8	4	3	0	1
6	4	5	3	1	2
5	5	3	0	1	2
5	6	2	3	0	1
6	3	6	3	1	1
5	4	3	2	0	1
7	5	6	2	0	1
6	4	5	1	0	0
6	3	5	3	0	1
8	5	6	3	1	2
7	5	5	2	1	1
9	3	5	3	0	1
4	4	5	1	0	2
7	5	5	1	0	2
7	7	5	2	2	1
8	9	6	3	0	2
8	8	5	3	1	2
7	6	6	2	0	1
7	4	4	3	0	2
9	7	5	3	1	2
6	3	5	2	0	1
7	5	6	3	1	0
8	6	6	2	0	1
5	6	3	1	0	0
5	7	6	3	1	0
5	3	4	1	0	0
8	6	5	2	0	0
5	6	6	0	1	0
7	4	6	2	2	1
6	4	5	1	1	2
5	5	5	0	0	0
7	4	5	1	1	2
6	5	4	1	1	0
8	9	1	2	0	1
9	6	5	1	0	2
7	4	5	2	0	2
7	4	4	1	0	2
9	4	5	2	0	2
7	5	6	3	1	2
7	6	4	3	2	2
6	3	5	3	0	1
8	8	6	3	1	1
8	4	4	2	0	1
7	4	6	1	1	1
5	4	4	2	0	0
6	6	4	2	0	2
8	8	6	3	0	2
7	6	4	1	0	2
6	3	5	2	2	2
4	4	4	0	1	0
6	4	6	2	1	2
7	6	6	3	0	1
8	9	5	3	0	1
7	6	6	2	1	2
8	4	6	3	2	2
9	4	4	0	0	1
8	5	5	2	0	1
7	4	6	3	1	2
4	3	6	1	1	1
6	5	6	1	0	1
7	4	6	1	1	1
8	6	6	2	1	2
6	5	6	3	0	2
7	4	6	1	1	1
8	6	6	2	2	1
7	8	6	2	2	2
8	4	4	2	0	2
9	4	0	3	0	2
7	7	6	2	2	2
8	8	5	3	0	2
8	7	5	2	1	1
9	6	6	3	1	2
6	3	5	0	0	2
8	2	2	0	1	2
8	5	6	3	1	2
9	6	6	3	1	2
7	4	4	1	0	2
6	5	4	0	1	0
5	5	6	0	1	1
8	4	5	2	2	2
8	3	6	1	1	2
6	5	6	2	0	2
4	2	5	1	0	2
9	7	3	3	0	2
6	5	4	0	1	2
5	4	5	2	0	0
8	8	6	2	0	1
9	3	6	3	1	0
4	2	5	1	0	1
7	4	6	1	0	2
5	3	6	2	0	1
8	5	5	3	0	2
7	5	5	2	1	2
8	3	6	3	2	1
6	7	4	3	1	1
9	6	4	2	0	2
5	4	1	0	0	0
6	4	5	1	0	2
7	6	5	3	2	2
9	7	6	3	0	1
6	4	3	0	1	0
6	9	4	2	0	2
9	7	5	1	0	0
9	7	2	3	1	1
6	5	6	1	0	1
6	5	1	1	0	1
9	5	6	3	1	2
8	6	6	1	1	2
6	4	6	3	1	1
6	4	5	1	0	1
7	6	2	1	0	0
7	4	1	2	0	1
2	3	4	0	0	2
NA	NA	NA	NA	NA	NA
6	3	6	2	0	2
9	2	5	3	1	1
6	6	3	3	0	2
5	3	4	2	2	0
6	4	5	2	1	1
8	3	4	0	0	1
3	4	4	0	0	0
6	8	5	1	0	2
8	5	5	1	0	1
9	5	6	2	2	2
9	5	6	2	2	2
8	5	3	3	0	1
9	7	4	3	0	1
7	3	5	3	0	2
5	5	3	1	0	1
7	5	5	2	2	2
9	5	5	2	2	2
9	5	6	3	2	2
8	5	6	3	0	1
8	4	2	2	2	2
6	9	6	3	0	1
9	5	5	3	1	1
8	4	4	3	1	2
9	8	6	3	1	0
8	5	3	3	0	1
7	2	5	2	0	1
8	5	6	2	0	1
7	7	5	3	2	2
5	3	6	3	1	1
7	5	4	1	0	2
7	5	6	3	1	2
6	4	6	3	1	2
7	1	4	2	0	2
6	6	6	3	0	1
9	5	4	2	1	2
6	5	5	0	1	2
7	4	5	2	0	2
4	4	4	2	0	2
8	5	4	2	0	0
6	5	5	2	0	2
5	4	2	2	0	2
7	4	6	3	0	2
9	4	6	1	0	2
4	2	4	0	0	2
5	5	1	2	1	1
6	5	6	2	1	1
8	7	5	3	2	1
9	7	6	3	1	1
7	5	6	3	0	2
8	4	6	1	0	2
8	3	6	3	2	0
8	6	6	3	1	2
9	6	6	0	1	2
7	7	6	3	2	2
6	5	4	3	0	0
6	4	4	2	0	2
9	5	5	2	2	2
6	6	0	0	0	0
7	4	4	2	1	1
7	7	4	3	2	1
7	5	2	1	0	2
7	5	6	2	1	1
7	2	3	2	0	1
8	3	5	3	0	1
8	6	4	3	1	2
4	5	5	2	1	0
7	5	6	3	1	2
7	2	4	1	0	1
7	2	6	3	0	2
7	5	3	3	1	1
5	2	5	3	0	2
4	3	3	0	0	1
6	4	5	3	1	2
9	8	5	3	2	1
4	4	4	0	0	2
4	2	5	1	0	1
3	3	5	0	0	1
8	5	5	3	0	0
3	4	5	0	0	1
8	5	4	0	0	2
9	5	6	2	0	1
8	8	5	3	1	2
8	6	5	3	1	2
7	5	6	1	1	2
8	9	6	3	1	0
8	2	4	1	0	1
7	3	5	3	1	1
5	6	4	2	0	1
7	2	6	3	0	1
7	3	4	2	0	1
4	1	4	0	0	1
6	2	2	0	0	1
6	1	5	3	1	0
6	1	4	1	0	1
6	2	4	0	0	2
4	5	3	0	0	0
5	6	2	1	1	0
3	6	6	2	2	0
8	2	4	1	0	0
7	2	4	1	0	0
6	4	3	0	0	1
4	5	1	0	0	0
4	2	5	1	0	1
8	1	6	3	1	2
4	1	4	1	0	1
8	1	5	0	0	0
6	5	4	3	1	1
4	0	3	0	0	0
7	4	5	3	1	2
8	5	6	3	0	2
4	3	5	3	0	1
5	7	5	3	0	2
9	6	5	3	0	2
2	2	1	0	0	0
6	5	4	2	0	2
6	6	6	3	1	1
4	3	4	0	1	1
5	2	3	0	0	0
3	2	5	1	1	0
6	6	5	3	0	1
8	6	5	2	0	1
8	3	5	3	0	1
4	3	4	3	1	2
7	4	5	3	1	0
5	1	6	0	0	1
3	1	4	0	0	1
9	3	6	3	0	1
5	2	6	1	0	1
5	3	4	0	0	0
9	5	6	2	1	2
8	1	4	0	0	1
4	4	5	1	0	0
9	3	2	1	0	2
4	2	2	0	1	0
5	2	2	0	0	1
6	3	5	0	0	1
4	4	4	1	1	1
3	3	6	2	1	0
3	4	5	1	0	1
8	3	6	2	0	2
6	1	5	1	0	0
9	2	6	1	0	0
9	3	5	1	1	1
8	1	6	1	0	0
8	9	6	3	0	2
4	3	2	2	0	1
8	4	5	1	0	2
8	6	6	3	1	2
8	1	4	2	1	2
8	4	6	2	0	1
7	5	6	3	1	1
5	3	3	1	0	1
9	3	6	3	0	1
6	2	4	0	0	2
9	5	6	2	0	1
7	2	5	0	0	2
8	2	4	0	0	0
8	5	6	3	0	0
6	2	5	3	1	2
8	5	6	2	0	2
7	4	2	1	0	2
8	4	6	0	0	2
5	0	3	0	0	0
6	2	6	1	1	0
6	0	4	0	1	0
6	3	5	1	0	1
5	1	3	0	0	1
6	2	6	1	0	2
6	2	4	2	0	2
8	3	4	1	0	1
4	2	3	0	0	1
8	1	3	3	0	0
5	4	3	0	0	1
6	5	5	2	0	1
5	1	5	1	0	2
5	4	5	3	0	1
9	7	4	3	1	1
5	1	2	0	0	2
7	4	6	3	1	1
7	3	4	0	0	1
7	4	4	3	0	0
9	4	5	3	0	1
6	5	4	2	0	1
7	3	3	0	1	1
4	4	6	3	2	1
7	3	5	1	1	1
4	1	1	0	0	0
7	4	3	2	0	1
3	5	3	0	0	1
5	2	3	1	0	1
7	4	4	2	0	2
8	5	4	3	1	2
9	7	6	3	0	1
9	8	6	3	1	1
6	4	5	1	1	2
7	5	2	2	0	0
2	1	0	0	0	0
5	2	3	0	1	0
6	0	5	3	0	1
7	6	5	3	1	0
6	1	4	1	0	0
8	4	5	2	0	2
9	4	6	3	1	2
6	2	3	0	0	1
3	4	5	1	0	1
9	3	6	3	1	2
8	2	1	0	0	1
6	1	4	1	0	1
6	3	4	0	0	2
8	6	1	2	0	0
5	2	2	0	1	2
9	8	6	3	0	2
8	6	6	3	0	2
6	1	5	1	1	0
8	5	5	3	0	0
6	3	6	1	1	1
7	4	6	3	1	2
4	4	4	3	0	1
7	2	5	0	1	0
4	0	1	0	0	0
6	4	5	3	1	0
8	5	5	2	2	0
DELETED	DELETED	DELETED	DELETED	DELETED	DELETED
7	6	3	3	0	0
5	2	3	1	0	1
8	5	6	2	1	0
8	2	5	1	2	0
9	4	6	3	0	2
8	3	5	1	1	1
4	0	0	0	0	0
7	5	6	0	1	1
7	7	5	3	0	2
9	6	5	3	1	2
7	5	5	3	0	2
7	4	5	2	0	1
5	1	2	0	1	0
8	4	5	2	1	2
7	3	5	1	0	2
5	3	5	3	0	0
8	7	3	0	0	1
9	3	4	3	0	1
8	3	6	3	1	0
6	5	3	1	0	2
2	3	2	2	0	0
9	6	6	3	1	1
9	7	5	3	2	2
4	3	3	0	1	2
7	2	5	1	0	1
9	6	5	1	0	1
7	5	4	2	0	0
8	1	6	3	1	2
5	2	3	0	0	0
6	3	3	1	0	2
6	2	4	1	0	2
3	3	4	2	0	1
4	1	3	0	0	2
8	3	6	3	1	2
6	7	5	1	1	1
5	3	4	1	0	1
7	4	4	0	0	2
7	1	5	1	0	1
5	2	6	0	0	2
7	2	5	3	0	0
8	7	4	3	2	2
6	1	5	0	0	0
6	1	3	1	1	2
8	8	5	3	1	1
6	4	5	3	0	0
8	2	5	0	0	2
8	3	5	2	0	2
7	3	4	0	0	2
6	3	5	2	1	2
3	3	6	0	0	0
8	2	5	2	1	2
8	4	5	0	1	1
8	5	6	3	1	2
7	5	4	3	0	0
5	2	4	3	1	0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263968&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263968&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263968&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
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