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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 14 Nov 2015 00:58:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Nov/14/t1447462800w183l56bjsdoocz.htm/, Retrieved Tue, 14 May 2024 22:01:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283324, Retrieved Tue, 14 May 2024 22:01:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordshimcm, histogram
Estimated Impact191

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [HiMCM 2015 Histogram] [2015-11-14 00:58:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
57
40
27
32
56
49
30
34
35
32
28
33
27
30
28
31
42
36
34
36
26
43
24
32
16
28
44
36
35
56
50
75
63
41
52
43
41
43
60
38
72
88
70
74
58
71
39
56
28
86
57
57
70
63
38
44
38
57
49
92
73
54
78
41
68
86
66
70
36
47
47
57
59
31
27
29
53
47
49
53
43
33
61
39
54
21
18
32
25
42
42
32
80
45
56
57
55
47
34
83
31
29
38
33
33
48
44
43
28
36
45
47
31
53
29
74
36
52
46
63
62
32
42
58
17
35
35
64
82
77
29
45
89
57
56
40
25
38
67
64
32
55
32
22
26
41
21
35
45
25
34
31
32
42
38
36
30
29
30
26
26
25
34
44
52
26
32
34
34
44
40
42
75
45
38
61
63
102
24
22
14
15
11
45
37
17
25
19
36
17
14
11
22
13
5
26
31
21
41
37
23
24
32
34
28
29
18
43
46
27
24
49
52
19
60
85
29
22
35
58
28
20
27
30
61
38
28
29
37
46
48
27
23
21
11
27
29
20
10
13
31
35
21
32
48
45
43
45
52
26
36
55
38
32
37
20
42
28
16
46
25
34
39
30
40
26
38
19
40
50
62
61
32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283324&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283324&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[510.003650.003650.001825
[6,8[7000.003650
[8,10[9000.003650
[10,12[1140.0145990.0182480.007299
[12,14[1320.0072990.0255470.00365
[14,16[1530.0109490.0364960.005474
[16,18[1750.0182480.0547450.009124
[18,20[1950.0182480.0729930.009124
[20,22[2180.0291970.102190.014599
[22,24[2360.0218980.1240880.010949
[24,26[25100.0364960.1605840.018248
[26,28[27150.0547450.2153280.027372
[28,30[29180.0656930.2810220.032847
[30,32[31130.0474450.3284670.023723
[32,34[33180.0656930.3941610.032847
[34,36[35160.0583940.4525550.029197
[36,38[37130.0474450.50.023723
[38,40[39130.0474450.5474450.023723
[40,42[41100.0364960.5839420.018248
[42,44[43140.0510950.6350360.025547
[44,46[45130.0474450.6824820.023723
[46,48[4790.0328470.7153280.016423
[48,50[4970.0255470.7408760.012774
[50,52[5120.0072990.7481750.00365
[52,54[5390.0328470.7810220.016423
[54,56[5550.0182480.799270.009124
[56,58[57120.0437960.8430660.021898
[58,60[5940.0145990.8576640.007299
[60,62[6160.0218980.8795620.010949
[62,64[6360.0218980.901460.010949
[64,66[6520.0072990.9087590.00365
[66,68[6720.0072990.9160580.00365
[68,70[6910.003650.9197080.001825
[70,72[7140.0145990.9343070.007299
[72,74[7320.0072990.9416060.00365
[74,76[7540.0145990.9562040.007299
[76,78[7710.003650.9598540.001825
[78,80[7910.003650.9635040.001825
[80,82[8110.003650.9671530.001825
[82,84[8320.0072990.9744530.00365
[84,86[8510.003650.9781020.001825
[86,88[8720.0072990.9854010.00365
[88,90[8920.0072990.9927010.00365
[90,92[91000.9927010
[92,94[9310.003650.996350.001825
[94,96[95000.996350
[96,98[97000.996350
[98,100[99000.996350
[100,102]10110.0036510.001825

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 1 & 0.00365 & 0.00365 & 0.001825 \tabularnewline
[6,8[ & 7 & 0 & 0 & 0.00365 & 0 \tabularnewline
[8,10[ & 9 & 0 & 0 & 0.00365 & 0 \tabularnewline
[10,12[ & 11 & 4 & 0.014599 & 0.018248 & 0.007299 \tabularnewline
[12,14[ & 13 & 2 & 0.007299 & 0.025547 & 0.00365 \tabularnewline
[14,16[ & 15 & 3 & 0.010949 & 0.036496 & 0.005474 \tabularnewline
[16,18[ & 17 & 5 & 0.018248 & 0.054745 & 0.009124 \tabularnewline
[18,20[ & 19 & 5 & 0.018248 & 0.072993 & 0.009124 \tabularnewline
[20,22[ & 21 & 8 & 0.029197 & 0.10219 & 0.014599 \tabularnewline
[22,24[ & 23 & 6 & 0.021898 & 0.124088 & 0.010949 \tabularnewline
[24,26[ & 25 & 10 & 0.036496 & 0.160584 & 0.018248 \tabularnewline
[26,28[ & 27 & 15 & 0.054745 & 0.215328 & 0.027372 \tabularnewline
[28,30[ & 29 & 18 & 0.065693 & 0.281022 & 0.032847 \tabularnewline
[30,32[ & 31 & 13 & 0.047445 & 0.328467 & 0.023723 \tabularnewline
[32,34[ & 33 & 18 & 0.065693 & 0.394161 & 0.032847 \tabularnewline
[34,36[ & 35 & 16 & 0.058394 & 0.452555 & 0.029197 \tabularnewline
[36,38[ & 37 & 13 & 0.047445 & 0.5 & 0.023723 \tabularnewline
[38,40[ & 39 & 13 & 0.047445 & 0.547445 & 0.023723 \tabularnewline
[40,42[ & 41 & 10 & 0.036496 & 0.583942 & 0.018248 \tabularnewline
[42,44[ & 43 & 14 & 0.051095 & 0.635036 & 0.025547 \tabularnewline
[44,46[ & 45 & 13 & 0.047445 & 0.682482 & 0.023723 \tabularnewline
[46,48[ & 47 & 9 & 0.032847 & 0.715328 & 0.016423 \tabularnewline
[48,50[ & 49 & 7 & 0.025547 & 0.740876 & 0.012774 \tabularnewline
[50,52[ & 51 & 2 & 0.007299 & 0.748175 & 0.00365 \tabularnewline
[52,54[ & 53 & 9 & 0.032847 & 0.781022 & 0.016423 \tabularnewline
[54,56[ & 55 & 5 & 0.018248 & 0.79927 & 0.009124 \tabularnewline
[56,58[ & 57 & 12 & 0.043796 & 0.843066 & 0.021898 \tabularnewline
[58,60[ & 59 & 4 & 0.014599 & 0.857664 & 0.007299 \tabularnewline
[60,62[ & 61 & 6 & 0.021898 & 0.879562 & 0.010949 \tabularnewline
[62,64[ & 63 & 6 & 0.021898 & 0.90146 & 0.010949 \tabularnewline
[64,66[ & 65 & 2 & 0.007299 & 0.908759 & 0.00365 \tabularnewline
[66,68[ & 67 & 2 & 0.007299 & 0.916058 & 0.00365 \tabularnewline
[68,70[ & 69 & 1 & 0.00365 & 0.919708 & 0.001825 \tabularnewline
[70,72[ & 71 & 4 & 0.014599 & 0.934307 & 0.007299 \tabularnewline
[72,74[ & 73 & 2 & 0.007299 & 0.941606 & 0.00365 \tabularnewline
[74,76[ & 75 & 4 & 0.014599 & 0.956204 & 0.007299 \tabularnewline
[76,78[ & 77 & 1 & 0.00365 & 0.959854 & 0.001825 \tabularnewline
[78,80[ & 79 & 1 & 0.00365 & 0.963504 & 0.001825 \tabularnewline
[80,82[ & 81 & 1 & 0.00365 & 0.967153 & 0.001825 \tabularnewline
[82,84[ & 83 & 2 & 0.007299 & 0.974453 & 0.00365 \tabularnewline
[84,86[ & 85 & 1 & 0.00365 & 0.978102 & 0.001825 \tabularnewline
[86,88[ & 87 & 2 & 0.007299 & 0.985401 & 0.00365 \tabularnewline
[88,90[ & 89 & 2 & 0.007299 & 0.992701 & 0.00365 \tabularnewline
[90,92[ & 91 & 0 & 0 & 0.992701 & 0 \tabularnewline
[92,94[ & 93 & 1 & 0.00365 & 0.99635 & 0.001825 \tabularnewline
[94,96[ & 95 & 0 & 0 & 0.99635 & 0 \tabularnewline
[96,98[ & 97 & 0 & 0 & 0.99635 & 0 \tabularnewline
[98,100[ & 99 & 0 & 0 & 0.99635 & 0 \tabularnewline
[100,102] & 101 & 1 & 0.00365 & 1 & 0.001825 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283324&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]1[/C][C]0.00365[/C][C]0.00365[/C][C]0.001825[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]0[/C][C]0[/C][C]0.00365[/C][C]0[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]0[/C][C]0[/C][C]0.00365[/C][C]0[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]4[/C][C]0.014599[/C][C]0.018248[/C][C]0.007299[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]2[/C][C]0.007299[/C][C]0.025547[/C][C]0.00365[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]3[/C][C]0.010949[/C][C]0.036496[/C][C]0.005474[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]5[/C][C]0.018248[/C][C]0.054745[/C][C]0.009124[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]5[/C][C]0.018248[/C][C]0.072993[/C][C]0.009124[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]8[/C][C]0.029197[/C][C]0.10219[/C][C]0.014599[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]6[/C][C]0.021898[/C][C]0.124088[/C][C]0.010949[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]10[/C][C]0.036496[/C][C]0.160584[/C][C]0.018248[/C][/ROW]
[ROW][C][26,28[[/C][C]27[/C][C]15[/C][C]0.054745[/C][C]0.215328[/C][C]0.027372[/C][/ROW]
[ROW][C][28,30[[/C][C]29[/C][C]18[/C][C]0.065693[/C][C]0.281022[/C][C]0.032847[/C][/ROW]
[ROW][C][30,32[[/C][C]31[/C][C]13[/C][C]0.047445[/C][C]0.328467[/C][C]0.023723[/C][/ROW]
[ROW][C][32,34[[/C][C]33[/C][C]18[/C][C]0.065693[/C][C]0.394161[/C][C]0.032847[/C][/ROW]
[ROW][C][34,36[[/C][C]35[/C][C]16[/C][C]0.058394[/C][C]0.452555[/C][C]0.029197[/C][/ROW]
[ROW][C][36,38[[/C][C]37[/C][C]13[/C][C]0.047445[/C][C]0.5[/C][C]0.023723[/C][/ROW]
[ROW][C][38,40[[/C][C]39[/C][C]13[/C][C]0.047445[/C][C]0.547445[/C][C]0.023723[/C][/ROW]
[ROW][C][40,42[[/C][C]41[/C][C]10[/C][C]0.036496[/C][C]0.583942[/C][C]0.018248[/C][/ROW]
[ROW][C][42,44[[/C][C]43[/C][C]14[/C][C]0.051095[/C][C]0.635036[/C][C]0.025547[/C][/ROW]
[ROW][C][44,46[[/C][C]45[/C][C]13[/C][C]0.047445[/C][C]0.682482[/C][C]0.023723[/C][/ROW]
[ROW][C][46,48[[/C][C]47[/C][C]9[/C][C]0.032847[/C][C]0.715328[/C][C]0.016423[/C][/ROW]
[ROW][C][48,50[[/C][C]49[/C][C]7[/C][C]0.025547[/C][C]0.740876[/C][C]0.012774[/C][/ROW]
[ROW][C][50,52[[/C][C]51[/C][C]2[/C][C]0.007299[/C][C]0.748175[/C][C]0.00365[/C][/ROW]
[ROW][C][52,54[[/C][C]53[/C][C]9[/C][C]0.032847[/C][C]0.781022[/C][C]0.016423[/C][/ROW]
[ROW][C][54,56[[/C][C]55[/C][C]5[/C][C]0.018248[/C][C]0.79927[/C][C]0.009124[/C][/ROW]
[ROW][C][56,58[[/C][C]57[/C][C]12[/C][C]0.043796[/C][C]0.843066[/C][C]0.021898[/C][/ROW]
[ROW][C][58,60[[/C][C]59[/C][C]4[/C][C]0.014599[/C][C]0.857664[/C][C]0.007299[/C][/ROW]
[ROW][C][60,62[[/C][C]61[/C][C]6[/C][C]0.021898[/C][C]0.879562[/C][C]0.010949[/C][/ROW]
[ROW][C][62,64[[/C][C]63[/C][C]6[/C][C]0.021898[/C][C]0.90146[/C][C]0.010949[/C][/ROW]
[ROW][C][64,66[[/C][C]65[/C][C]2[/C][C]0.007299[/C][C]0.908759[/C][C]0.00365[/C][/ROW]
[ROW][C][66,68[[/C][C]67[/C][C]2[/C][C]0.007299[/C][C]0.916058[/C][C]0.00365[/C][/ROW]
[ROW][C][68,70[[/C][C]69[/C][C]1[/C][C]0.00365[/C][C]0.919708[/C][C]0.001825[/C][/ROW]
[ROW][C][70,72[[/C][C]71[/C][C]4[/C][C]0.014599[/C][C]0.934307[/C][C]0.007299[/C][/ROW]
[ROW][C][72,74[[/C][C]73[/C][C]2[/C][C]0.007299[/C][C]0.941606[/C][C]0.00365[/C][/ROW]
[ROW][C][74,76[[/C][C]75[/C][C]4[/C][C]0.014599[/C][C]0.956204[/C][C]0.007299[/C][/ROW]
[ROW][C][76,78[[/C][C]77[/C][C]1[/C][C]0.00365[/C][C]0.959854[/C][C]0.001825[/C][/ROW]
[ROW][C][78,80[[/C][C]79[/C][C]1[/C][C]0.00365[/C][C]0.963504[/C][C]0.001825[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]1[/C][C]0.00365[/C][C]0.967153[/C][C]0.001825[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]2[/C][C]0.007299[/C][C]0.974453[/C][C]0.00365[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]1[/C][C]0.00365[/C][C]0.978102[/C][C]0.001825[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]2[/C][C]0.007299[/C][C]0.985401[/C][C]0.00365[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]2[/C][C]0.007299[/C][C]0.992701[/C][C]0.00365[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]0[/C][C]0[/C][C]0.992701[/C][C]0[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]1[/C][C]0.00365[/C][C]0.99635[/C][C]0.001825[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]0[/C][C]0[/C][C]0.99635[/C][C]0[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]0[/C][C]0[/C][C]0.99635[/C][C]0[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]0[/C][C]0[/C][C]0.99635[/C][C]0[/C][/ROW]
[ROW][C][100,102][/C][C]101[/C][C]1[/C][C]0.00365[/C][C]1[/C][C]0.001825[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283324&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[510.003650.003650.001825
[6,8[7000.003650
[8,10[9000.003650
[10,12[1140.0145990.0182480.007299
[12,14[1320.0072990.0255470.00365
[14,16[1530.0109490.0364960.005474
[16,18[1750.0182480.0547450.009124
[18,20[1950.0182480.0729930.009124
[20,22[2180.0291970.102190.014599
[22,24[2360.0218980.1240880.010949
[24,26[25100.0364960.1605840.018248
[26,28[27150.0547450.2153280.027372
[28,30[29180.0656930.2810220.032847
[30,32[31130.0474450.3284670.023723
[32,34[33180.0656930.3941610.032847
[34,36[35160.0583940.4525550.029197
[36,38[37130.0474450.50.023723
[38,40[39130.0474450.5474450.023723
[40,42[41100.0364960.5839420.018248
[42,44[43140.0510950.6350360.025547
[44,46[45130.0474450.6824820.023723
[46,48[4790.0328470.7153280.016423
[48,50[4970.0255470.7408760.012774
[50,52[5120.0072990.7481750.00365
[52,54[5390.0328470.7810220.016423
[54,56[5550.0182480.799270.009124
[56,58[57120.0437960.8430660.021898
[58,60[5940.0145990.8576640.007299
[60,62[6160.0218980.8795620.010949
[62,64[6360.0218980.901460.010949
[64,66[6520.0072990.9087590.00365
[66,68[6720.0072990.9160580.00365
[68,70[6910.003650.9197080.001825
[70,72[7140.0145990.9343070.007299
[72,74[7320.0072990.9416060.00365
[74,76[7540.0145990.9562040.007299
[76,78[7710.003650.9598540.001825
[78,80[7910.003650.9635040.001825
[80,82[8110.003650.9671530.001825
[82,84[8320.0072990.9744530.00365
[84,86[8510.003650.9781020.001825
[86,88[8720.0072990.9854010.00365
[88,90[8920.0072990.9927010.00365
[90,92[91000.9927010
[92,94[9310.003650.996350.001825
[94,96[95000.996350
[96,98[97000.996350
[98,100[99000.996350
[100,102]10110.0036510.001825


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 40 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 40 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '20'
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 {
barplot(mytab <- sort(table(x),T),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')
}