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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 17 Dec 2012 08:40:17 -0500
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/Dec/17/t1355751628wvwre6jwsc3t1w4.htm/, Retrieved Thu, 28 Mar 2024 16:37:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200883, Retrieved Thu, 28 Mar 2024 16:37:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-12-17 13:40:17] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataseries X:
-2.8383455253
-6.8876476771
-7.4106697959
21.5609086781
-14.7163972633
-8.9731065875
-21.3856911445
-12.92515467
29.2447935282
3.2344204049
-35.2373838504
-27.1792379163
5.6337793547
-17.4188046701
1.57717113
14.7492731318
-8.6464544896
-28.2505458756
11.8466034378
-4.2815086526
-19.5294728073
-9.7870674112
3.9260353751
-10.6842063204
5.2482378668
-8.2496164978
11.8185907956
13.5347210251
-8.3055882213
-11.4457118176
-29.7146224435
-2.9525507815
11.8343015352
-14.580699983
17.468430382
-18.3658451479
-12.4496913271
14.4134668292
14.7736363482
28.5434853104
5.6047909046
-20.0055017819
-11.8235293595
13.2232096387
42.9217520606
15.1990682348
5.4721970806
-1.235261552
6.2473801417
2.6208358575
-4.731176187
34.2228181964
-15.9938460107
13.4948790191
8.5358919008
-38.9718418159
9.3537516169
-0.9476791512
29.4611346487
-20.0530302742
5.187887602
1.0711050037
15.2581910924
10.1549289227
-24.470923332
27.0065923012
7.1923091618
13.2445018346
12.1883858068
-29.4688903527
6.8485379664
15.2470262084
18.1806960883
18.6627589331
15.5690757884
-3.8188078036
13.4365678512
-10.7144988358
17.2186220641
1.8802105698
24.7921510147
-13.5084923467
23.966532712
26.9724458943
11.1740372181
-2.4950325527
-21.2665295414
-13.0130569535
10.579067621
-15.5669323549
0.7161494212
26.6346510236
3.7208761669
-27.9710694652
-0.0648377608
-9.1023753862
-14.1195227024
-0.9888045718
23.994963672
6.1141151687
18.8590831063
-6.2679218578
33.654771004
-11.8338248695
-66.1273159327
-14.8034081555
4.7257859336
35.0184266599
41.5978086796
-50.0753579077
-50.4927006049
-44.4856366272
0.0336439267
-5.0427554882
9.8664792844
-30.5456405658
30.510595308
32.9930138008
4.9380784794
-17.486826193
-29.1683681672
2.5726588033
15.9187027322
-7.4464242839
-37.0097494808
12.1802755329
-24.857269276
0.8353015574
8.7395262687
37.1026630382
-28.3412120096
28.0745111985
-4.4937418387
6.7722682701
17.3390204789
-1.9768117774
-4.7802133527
-9.6924338679
5.2322440793
-6.1785460882
14.5541593128
9.4626062006
-7.1795635107
23.139950353
-15.3692470207
0.6380593989
-0.1913211067
8.393052097
-2.7043425142
19.3025817229
11.8590522423
13.737435535
-32.976809998
8.9321765586
-23.4072121248
29.1797829312
-6.4315902457
-33.6187541773
-12.7532638124
17.900629555
-28.6638737224
-7.9134852185
0.5440465541
1.5308076778
-9.9445935911
24.2138934862
34.2585254263
-21.6496089751
21.8993054602
-64.3898034075
3.8566750666
22.0351854485
-41.4050648243
-28.600778474
-1.7926413646
-23.0791094171
44.2911962949
-34.4859128744
15.9985201915
-13.0489016616
24.6440844032
8.4955651609
23.7684747276
2.5890443113
27.7934097507
4.4967994243
5.171841539
-46.4502832315
-1.0057205665
-21.0381984609
0.9399927234
13.5110981027
12.6978693833
19.9779995145
30.217075069
-23.2973535559
-37.1214968815
-1.3331763845
8.6701470333
-17.857403047
1.1282704284
17.2453755416
21.0867167816
2.929145428
6.8033064931
-32.4708151229
19.3329284734
43.7845158826
-23.5864717383
-31.6624837326
5.1618724628
-7.5894285805
-46.6677640237
-6.4590214655
8.6433795337
27.5144187137
2.7080226974
-0.8711790688
-38.3967541283
-40.8912582438
24.0155339282
110.9616414718
5.9051934629
-36.6386140834
-21.0086524619
-21.8505511409
52.5971924268
19.3857309698
33.592904279
1.0945412587
5.8081517202
-12.6016245649
48.2523678578
-45.1149045784
-19.4985759372
26.0414455706
-24.6417039855
-40.4089848418
36.0058194456
1.6296105786
-7.7212461123
-10.7484313744
12.9541166185
-12.8221559942
48.5900401558
-37.6556594764
-9.9746259919
7.5428874735
23.8640277893
18.2360952313
49.0302087067
-12.020615523
-38.1531654177
37.8849583281
-36.9571423385
-18.5873987221
-18.2247924757
7.7544651181
0.3562041314
-11.0810827941
36.1855810186
-17.1381672207
-14.1659765118
-13.647508575
-24.1415952183
4.538750917
12.2560450727
2.144174854
-6.6478122338




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200883&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200883&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200883&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-80,-60[-7020.0074350.0074350.000372
[-60,-40[-5090.0334570.0408920.001673
[-40,-20[-30400.1486990.1895910.007435
[-20,0[-10750.278810.4684010.013941
[0,20[10980.3643120.8327140.018216
[20,40[30360.1338290.9665430.006691
[40,60[5080.029740.9962830.001487
[60,80[70000.9962830
[80,100[90000.9962830
[100,120]11010.00371710.000186

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-80,-60[ & -70 & 2 & 0.007435 & 0.007435 & 0.000372 \tabularnewline
[-60,-40[ & -50 & 9 & 0.033457 & 0.040892 & 0.001673 \tabularnewline
[-40,-20[ & -30 & 40 & 0.148699 & 0.189591 & 0.007435 \tabularnewline
[-20,0[ & -10 & 75 & 0.27881 & 0.468401 & 0.013941 \tabularnewline
[0,20[ & 10 & 98 & 0.364312 & 0.832714 & 0.018216 \tabularnewline
[20,40[ & 30 & 36 & 0.133829 & 0.966543 & 0.006691 \tabularnewline
[40,60[ & 50 & 8 & 0.02974 & 0.996283 & 0.001487 \tabularnewline
[60,80[ & 70 & 0 & 0 & 0.996283 & 0 \tabularnewline
[80,100[ & 90 & 0 & 0 & 0.996283 & 0 \tabularnewline
[100,120] & 110 & 1 & 0.003717 & 1 & 0.000186 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200883&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][-80,-60[[/C][C]-70[/C][C]2[/C][C]0.007435[/C][C]0.007435[/C][C]0.000372[/C][/ROW]
[ROW][C][-60,-40[[/C][C]-50[/C][C]9[/C][C]0.033457[/C][C]0.040892[/C][C]0.001673[/C][/ROW]
[ROW][C][-40,-20[[/C][C]-30[/C][C]40[/C][C]0.148699[/C][C]0.189591[/C][C]0.007435[/C][/ROW]
[ROW][C][-20,0[[/C][C]-10[/C][C]75[/C][C]0.27881[/C][C]0.468401[/C][C]0.013941[/C][/ROW]
[ROW][C][0,20[[/C][C]10[/C][C]98[/C][C]0.364312[/C][C]0.832714[/C][C]0.018216[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]36[/C][C]0.133829[/C][C]0.966543[/C][C]0.006691[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]8[/C][C]0.02974[/C][C]0.996283[/C][C]0.001487[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]0[/C][C]0[/C][C]0.996283[/C][C]0[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]0[/C][C]0[/C][C]0.996283[/C][C]0[/C][/ROW]
[ROW][C][100,120][/C][C]110[/C][C]1[/C][C]0.003717[/C][C]1[/C][C]0.000186[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200883&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200883&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-80,-60[-7020.0074350.0074350.000372
[-60,-40[-5090.0334570.0408920.001673
[-40,-20[-30400.1486990.1895910.007435
[-20,0[-10750.278810.4684010.013941
[0,20[10980.3643120.8327140.018216
[20,40[30360.1338290.9665430.006691
[40,60[5080.029740.9962830.001487
[60,80[70000.9962830
[80,100[90000.9962830
[100,120]11010.00371710.000186



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