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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 computationTue, 17 Jul 2012 10:02:39 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jul/17/t1342533881j0w8pqsih6ha82q.htm/, Retrieved Mon, 29 Apr 2024 19:52:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168807, Retrieved Mon, 29 Apr 2024 19:52:22 +0000
QR Codes:

Original text written by user:veröffentlichte Punktzahlen ohne "*"
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [tu berlin lina1 k...] [2012-07-11 21:49:14] [74be16979710d4c4e7c6647856088456]
- R PD    [Histogram] [Ana1 für Mathe Kl...] [2012-07-17 14:02:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0
0
1
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5
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6
6
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55

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168807&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168807&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168807&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 time4 seconds
R Server'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,1[0.520.0178570.0178570.017857
[1,2[1.510.0089290.0267860.008929
[2,3[2.510.0089290.0357140.008929
[3,4[3.5000.0357140
[4,5[4.5000.0357140
[5,6[5.510.0089290.0446430.008929
[6,7[6.530.0267860.0714290.026786
[7,8[7.520.0178570.0892860.017857
[8,9[8.520.0178570.1071430.017857
[9,10[9.520.0178570.1250.017857
[10,11[10.5000.1250
[11,12[11.5000.1250
[12,13[12.510.0089290.1339290.008929
[13,14[13.520.0178570.1517860.017857
[14,15[14.520.0178570.1696430.017857
[15,16[15.540.0357140.2053570.035714
[16,17[16.510.0089290.2142860.008929
[17,18[17.560.0535710.2678570.053571
[18,19[18.510.0089290.2767860.008929
[19,20[19.560.0535710.3303570.053571
[20,21[20.540.0357140.3660710.035714
[21,22[21.550.0446430.4107140.044643
[22,23[22.510.0089290.4196430.008929
[23,24[23.540.0357140.4553570.035714
[24,25[24.520.0178570.4732140.017857
[25,26[25.560.0535710.5267860.053571
[26,27[26.540.0357140.56250.035714
[27,28[27.520.0178570.5803570.017857
[28,29[28.510.0089290.5892860.008929
[29,30[29.5000.5892860
[30,31[30.580.0714290.6607140.071429
[31,32[31.510.0089290.6696430.008929
[32,33[32.530.0267860.6964290.026786
[33,34[33.560.0535710.750.053571
[34,35[34.530.0267860.7767860.026786
[35,36[35.520.0178570.7946430.017857
[36,37[36.550.0446430.8392860.044643
[37,38[37.540.0357140.8750.035714
[38,39[38.520.0178570.8928570.017857
[39,40[39.510.0089290.9017860.008929
[40,41[40.530.0267860.9285710.026786
[41,42[41.5000.9285710
[42,43[42.5000.9285710
[43,44[43.510.0089290.93750.008929
[44,45[44.510.0089290.9464290.008929
[45,46[45.520.0178570.9642860.017857
[46,47[46.510.0089290.9732140.008929
[47,48[47.5000.9732140
[48,49[48.5000.9732140
[49,50[49.520.0178570.9910710.017857
[50,51[50.5000.9910710
[51,52[51.5000.9910710
[52,53[52.5000.9910710
[53,54[53.5000.9910710
[54,55]54.510.00892910.008929

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 2 & 0.017857 & 0.017857 & 0.017857 \tabularnewline
[1,2[ & 1.5 & 1 & 0.008929 & 0.026786 & 0.008929 \tabularnewline
[2,3[ & 2.5 & 1 & 0.008929 & 0.035714 & 0.008929 \tabularnewline
[3,4[ & 3.5 & 0 & 0 & 0.035714 & 0 \tabularnewline
[4,5[ & 4.5 & 0 & 0 & 0.035714 & 0 \tabularnewline
[5,6[ & 5.5 & 1 & 0.008929 & 0.044643 & 0.008929 \tabularnewline
[6,7[ & 6.5 & 3 & 0.026786 & 0.071429 & 0.026786 \tabularnewline
[7,8[ & 7.5 & 2 & 0.017857 & 0.089286 & 0.017857 \tabularnewline
[8,9[ & 8.5 & 2 & 0.017857 & 0.107143 & 0.017857 \tabularnewline
[9,10[ & 9.5 & 2 & 0.017857 & 0.125 & 0.017857 \tabularnewline
[10,11[ & 10.5 & 0 & 0 & 0.125 & 0 \tabularnewline
[11,12[ & 11.5 & 0 & 0 & 0.125 & 0 \tabularnewline
[12,13[ & 12.5 & 1 & 0.008929 & 0.133929 & 0.008929 \tabularnewline
[13,14[ & 13.5 & 2 & 0.017857 & 0.151786 & 0.017857 \tabularnewline
[14,15[ & 14.5 & 2 & 0.017857 & 0.169643 & 0.017857 \tabularnewline
[15,16[ & 15.5 & 4 & 0.035714 & 0.205357 & 0.035714 \tabularnewline
[16,17[ & 16.5 & 1 & 0.008929 & 0.214286 & 0.008929 \tabularnewline
[17,18[ & 17.5 & 6 & 0.053571 & 0.267857 & 0.053571 \tabularnewline
[18,19[ & 18.5 & 1 & 0.008929 & 0.276786 & 0.008929 \tabularnewline
[19,20[ & 19.5 & 6 & 0.053571 & 0.330357 & 0.053571 \tabularnewline
[20,21[ & 20.5 & 4 & 0.035714 & 0.366071 & 0.035714 \tabularnewline
[21,22[ & 21.5 & 5 & 0.044643 & 0.410714 & 0.044643 \tabularnewline
[22,23[ & 22.5 & 1 & 0.008929 & 0.419643 & 0.008929 \tabularnewline
[23,24[ & 23.5 & 4 & 0.035714 & 0.455357 & 0.035714 \tabularnewline
[24,25[ & 24.5 & 2 & 0.017857 & 0.473214 & 0.017857 \tabularnewline
[25,26[ & 25.5 & 6 & 0.053571 & 0.526786 & 0.053571 \tabularnewline
[26,27[ & 26.5 & 4 & 0.035714 & 0.5625 & 0.035714 \tabularnewline
[27,28[ & 27.5 & 2 & 0.017857 & 0.580357 & 0.017857 \tabularnewline
[28,29[ & 28.5 & 1 & 0.008929 & 0.589286 & 0.008929 \tabularnewline
[29,30[ & 29.5 & 0 & 0 & 0.589286 & 0 \tabularnewline
[30,31[ & 30.5 & 8 & 0.071429 & 0.660714 & 0.071429 \tabularnewline
[31,32[ & 31.5 & 1 & 0.008929 & 0.669643 & 0.008929 \tabularnewline
[32,33[ & 32.5 & 3 & 0.026786 & 0.696429 & 0.026786 \tabularnewline
[33,34[ & 33.5 & 6 & 0.053571 & 0.75 & 0.053571 \tabularnewline
[34,35[ & 34.5 & 3 & 0.026786 & 0.776786 & 0.026786 \tabularnewline
[35,36[ & 35.5 & 2 & 0.017857 & 0.794643 & 0.017857 \tabularnewline
[36,37[ & 36.5 & 5 & 0.044643 & 0.839286 & 0.044643 \tabularnewline
[37,38[ & 37.5 & 4 & 0.035714 & 0.875 & 0.035714 \tabularnewline
[38,39[ & 38.5 & 2 & 0.017857 & 0.892857 & 0.017857 \tabularnewline
[39,40[ & 39.5 & 1 & 0.008929 & 0.901786 & 0.008929 \tabularnewline
[40,41[ & 40.5 & 3 & 0.026786 & 0.928571 & 0.026786 \tabularnewline
[41,42[ & 41.5 & 0 & 0 & 0.928571 & 0 \tabularnewline
[42,43[ & 42.5 & 0 & 0 & 0.928571 & 0 \tabularnewline
[43,44[ & 43.5 & 1 & 0.008929 & 0.9375 & 0.008929 \tabularnewline
[44,45[ & 44.5 & 1 & 0.008929 & 0.946429 & 0.008929 \tabularnewline
[45,46[ & 45.5 & 2 & 0.017857 & 0.964286 & 0.017857 \tabularnewline
[46,47[ & 46.5 & 1 & 0.008929 & 0.973214 & 0.008929 \tabularnewline
[47,48[ & 47.5 & 0 & 0 & 0.973214 & 0 \tabularnewline
[48,49[ & 48.5 & 0 & 0 & 0.973214 & 0 \tabularnewline
[49,50[ & 49.5 & 2 & 0.017857 & 0.991071 & 0.017857 \tabularnewline
[50,51[ & 50.5 & 0 & 0 & 0.991071 & 0 \tabularnewline
[51,52[ & 51.5 & 0 & 0 & 0.991071 & 0 \tabularnewline
[52,53[ & 52.5 & 0 & 0 & 0.991071 & 0 \tabularnewline
[53,54[ & 53.5 & 0 & 0 & 0.991071 & 0 \tabularnewline
[54,55] & 54.5 & 1 & 0.008929 & 1 & 0.008929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168807&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][0,1[[/C][C]0.5[/C][C]2[/C][C]0.017857[/C][C]0.017857[/C][C]0.017857[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]1[/C][C]0.008929[/C][C]0.026786[/C][C]0.008929[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]1[/C][C]0.008929[/C][C]0.035714[/C][C]0.008929[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.035714[/C][C]0[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]0[/C][C]0[/C][C]0.035714[/C][C]0[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]1[/C][C]0.008929[/C][C]0.044643[/C][C]0.008929[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]3[/C][C]0.026786[/C][C]0.071429[/C][C]0.026786[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]2[/C][C]0.017857[/C][C]0.089286[/C][C]0.017857[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]2[/C][C]0.017857[/C][C]0.107143[/C][C]0.017857[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]2[/C][C]0.017857[/C][C]0.125[/C][C]0.017857[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]0[/C][C]0[/C][C]0.125[/C][C]0[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]0[/C][C]0[/C][C]0.125[/C][C]0[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]1[/C][C]0.008929[/C][C]0.133929[/C][C]0.008929[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]2[/C][C]0.017857[/C][C]0.151786[/C][C]0.017857[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]2[/C][C]0.017857[/C][C]0.169643[/C][C]0.017857[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]4[/C][C]0.035714[/C][C]0.205357[/C][C]0.035714[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]1[/C][C]0.008929[/C][C]0.214286[/C][C]0.008929[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]6[/C][C]0.053571[/C][C]0.267857[/C][C]0.053571[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]1[/C][C]0.008929[/C][C]0.276786[/C][C]0.008929[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]6[/C][C]0.053571[/C][C]0.330357[/C][C]0.053571[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]4[/C][C]0.035714[/C][C]0.366071[/C][C]0.035714[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]5[/C][C]0.044643[/C][C]0.410714[/C][C]0.044643[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]1[/C][C]0.008929[/C][C]0.419643[/C][C]0.008929[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]4[/C][C]0.035714[/C][C]0.455357[/C][C]0.035714[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]2[/C][C]0.017857[/C][C]0.473214[/C][C]0.017857[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]6[/C][C]0.053571[/C][C]0.526786[/C][C]0.053571[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]4[/C][C]0.035714[/C][C]0.5625[/C][C]0.035714[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]2[/C][C]0.017857[/C][C]0.580357[/C][C]0.017857[/C][/ROW]
[ROW][C][28,29[[/C][C]28.5[/C][C]1[/C][C]0.008929[/C][C]0.589286[/C][C]0.008929[/C][/ROW]
[ROW][C][29,30[[/C][C]29.5[/C][C]0[/C][C]0[/C][C]0.589286[/C][C]0[/C][/ROW]
[ROW][C][30,31[[/C][C]30.5[/C][C]8[/C][C]0.071429[/C][C]0.660714[/C][C]0.071429[/C][/ROW]
[ROW][C][31,32[[/C][C]31.5[/C][C]1[/C][C]0.008929[/C][C]0.669643[/C][C]0.008929[/C][/ROW]
[ROW][C][32,33[[/C][C]32.5[/C][C]3[/C][C]0.026786[/C][C]0.696429[/C][C]0.026786[/C][/ROW]
[ROW][C][33,34[[/C][C]33.5[/C][C]6[/C][C]0.053571[/C][C]0.75[/C][C]0.053571[/C][/ROW]
[ROW][C][34,35[[/C][C]34.5[/C][C]3[/C][C]0.026786[/C][C]0.776786[/C][C]0.026786[/C][/ROW]
[ROW][C][35,36[[/C][C]35.5[/C][C]2[/C][C]0.017857[/C][C]0.794643[/C][C]0.017857[/C][/ROW]
[ROW][C][36,37[[/C][C]36.5[/C][C]5[/C][C]0.044643[/C][C]0.839286[/C][C]0.044643[/C][/ROW]
[ROW][C][37,38[[/C][C]37.5[/C][C]4[/C][C]0.035714[/C][C]0.875[/C][C]0.035714[/C][/ROW]
[ROW][C][38,39[[/C][C]38.5[/C][C]2[/C][C]0.017857[/C][C]0.892857[/C][C]0.017857[/C][/ROW]
[ROW][C][39,40[[/C][C]39.5[/C][C]1[/C][C]0.008929[/C][C]0.901786[/C][C]0.008929[/C][/ROW]
[ROW][C][40,41[[/C][C]40.5[/C][C]3[/C][C]0.026786[/C][C]0.928571[/C][C]0.026786[/C][/ROW]
[ROW][C][41,42[[/C][C]41.5[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][42,43[[/C][C]42.5[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][43,44[[/C][C]43.5[/C][C]1[/C][C]0.008929[/C][C]0.9375[/C][C]0.008929[/C][/ROW]
[ROW][C][44,45[[/C][C]44.5[/C][C]1[/C][C]0.008929[/C][C]0.946429[/C][C]0.008929[/C][/ROW]
[ROW][C][45,46[[/C][C]45.5[/C][C]2[/C][C]0.017857[/C][C]0.964286[/C][C]0.017857[/C][/ROW]
[ROW][C][46,47[[/C][C]46.5[/C][C]1[/C][C]0.008929[/C][C]0.973214[/C][C]0.008929[/C][/ROW]
[ROW][C][47,48[[/C][C]47.5[/C][C]0[/C][C]0[/C][C]0.973214[/C][C]0[/C][/ROW]
[ROW][C][48,49[[/C][C]48.5[/C][C]0[/C][C]0[/C][C]0.973214[/C][C]0[/C][/ROW]
[ROW][C][49,50[[/C][C]49.5[/C][C]2[/C][C]0.017857[/C][C]0.991071[/C][C]0.017857[/C][/ROW]
[ROW][C][50,51[[/C][C]50.5[/C][C]0[/C][C]0[/C][C]0.991071[/C][C]0[/C][/ROW]
[ROW][C][51,52[[/C][C]51.5[/C][C]0[/C][C]0[/C][C]0.991071[/C][C]0[/C][/ROW]
[ROW][C][52,53[[/C][C]52.5[/C][C]0[/C][C]0[/C][C]0.991071[/C][C]0[/C][/ROW]
[ROW][C][53,54[[/C][C]53.5[/C][C]0[/C][C]0[/C][C]0.991071[/C][C]0[/C][/ROW]
[ROW][C][54,55][/C][C]54.5[/C][C]1[/C][C]0.008929[/C][C]1[/C][C]0.008929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168807&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168807&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
[0,1[0.520.0178570.0178570.017857
[1,2[1.510.0089290.0267860.008929
[2,3[2.510.0089290.0357140.008929
[3,4[3.5000.0357140
[4,5[4.5000.0357140
[5,6[5.510.0089290.0446430.008929
[6,7[6.530.0267860.0714290.026786
[7,8[7.520.0178570.0892860.017857
[8,9[8.520.0178570.1071430.017857
[9,10[9.520.0178570.1250.017857
[10,11[10.5000.1250
[11,12[11.5000.1250
[12,13[12.510.0089290.1339290.008929
[13,14[13.520.0178570.1517860.017857
[14,15[14.520.0178570.1696430.017857
[15,16[15.540.0357140.2053570.035714
[16,17[16.510.0089290.2142860.008929
[17,18[17.560.0535710.2678570.053571
[18,19[18.510.0089290.2767860.008929
[19,20[19.560.0535710.3303570.053571
[20,21[20.540.0357140.3660710.035714
[21,22[21.550.0446430.4107140.044643
[22,23[22.510.0089290.4196430.008929
[23,24[23.540.0357140.4553570.035714
[24,25[24.520.0178570.4732140.017857
[25,26[25.560.0535710.5267860.053571
[26,27[26.540.0357140.56250.035714
[27,28[27.520.0178570.5803570.017857
[28,29[28.510.0089290.5892860.008929
[29,30[29.5000.5892860
[30,31[30.580.0714290.6607140.071429
[31,32[31.510.0089290.6696430.008929
[32,33[32.530.0267860.6964290.026786
[33,34[33.560.0535710.750.053571
[34,35[34.530.0267860.7767860.026786
[35,36[35.520.0178570.7946430.017857
[36,37[36.550.0446430.8392860.044643
[37,38[37.540.0357140.8750.035714
[38,39[38.520.0178570.8928570.017857
[39,40[39.510.0089290.9017860.008929
[40,41[40.530.0267860.9285710.026786
[41,42[41.5000.9285710
[42,43[42.5000.9285710
[43,44[43.510.0089290.93750.008929
[44,45[44.510.0089290.9464290.008929
[45,46[45.520.0178570.9642860.017857
[46,47[46.510.0089290.9732140.008929
[47,48[47.5000.9732140
[48,49[48.5000.9732140
[49,50[49.520.0178570.9910710.017857
[50,51[50.5000.9910710
[51,52[51.5000.9910710
[52,53[52.5000.9910710
[53,54[53.5000.9910710
[54,55]54.510.00892910.008929


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = red ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 60 ; par2 = red ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '60'
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')
}