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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 20 Jan 2015 11:20:18 +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/Jan/20/t14217528308b1utten2ziigzy.htm/, Retrieved Wed, 15 May 2024 11:32:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=275082, Retrieved Wed, 15 May 2024 11:32:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [proefex 4] [2015-01-20 10:22:56] [bb1b6762b7e5624d262776d3f7139d34]
- RMPD  [ARIMA Backward Selection] [Proefex 6] [2015-01-20 10:36:28] [bb1b6762b7e5624d262776d3f7139d34]
- RMP     [ARIMA Forecasting] [proefex 7] [2015-01-20 10:51:59] [bb1b6762b7e5624d262776d3f7139d34]
- RM D      [Multiple Regression] [proefex 8] [2015-01-20 10:59:17] [bb1b6762b7e5624d262776d3f7139d34]
- RM D          [Histogram] [proefex oef 10] [2015-01-20 11:20:18] [8568a324fefbb8dbb43f697bfa8d1be6] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-7.34659
-3.83393
0.601079
10.1708
-19.384
76.9922
5.5307
-40.6643
7.89237
17.2903
12.6761
19.6465
-22.8607
24.2146
-102.787
-22.1468
19.5158
-27.5133
32.8225
-23.6236
9.83643
4.60699
70.5428
50.2208
-0.610172
109.513
38.3844
-17.1329
9.89147
8.93507
-50.6089
6.24831
-15.4578
17.4048
-39.2381
-41.6349
5.69034
31.4039
20.6034
4.54633
-32.8318
5.29772
18.8812
21.0418
-34.8082
32.3313
-31.5422
-6.96524
-51.1887
-19.621
16.3293
-54.3249
11.0791
51.4231
-17.4376
-28.8304
23.0113
-6.31347
-53.8408
-12.2495
13.1904
8.39642
-42.7811
59.8085
36.2483
-29.8633
38.3825
76.0114
45.9664
-1.17613
21.4147
-26.7206
-36.2753
-1.78602
-12.253
2.56265
1.16142
9.31058
-27.9482
-35.9069
-16.4696
7.28922
-19.3588
1.19328
22.2468
0.588097
-19.1513
-32.8384
-19.9199
28.5582
-27.2895
20.3171
39.2813
-9.7313
-0.942376
9.60549
18.1714
-4.9384
-7.56233
12.84
-30.4868
-3.639
-17.8985
30.4074
-5.72721
-9.3317
-5.54115
-14.7961
-55.8251
-7.45031
7.46339
3.41547
-77.9853
-70.9246
25.0086
29.244
10.2707
-13.374
60.4465
27.8033
28.7837
-65.8301
18.4629
-89.4987
-19.6233
-11.2502
9.82813
-20.7817
40.6665
-28.5946
-10.6826
26.0439
-9.82614
-7.37667
-50.715
-40.8176
-1.70087
-99.8017
14.1375
-11.3701
-11.5852
43.864
32.0648
1.17527
15.5922
5.30727
0.309518
-25.6243
0.855347
45.826
34.6051
-22.2974
25.725
38.2554
-20.4191
5.13599
36.9151
-22.4416
17.9049
-14.7084
20.6995
4.38463
35.8517
-124.977
64.3234
-31.3808
22.9819
9.22512
7.16268
-6.14016
10.5282
19.031
40.8665
38.6731
38.6731
28.9975
-6.40377
23.1366
56.324
-81.4623
-6.58429
26.0776
19.8611
5.20928
57.0213
9.45682
7.45682
12.4568
16.3065
-34.724
-27.9697
33.4926
-10.2839
22.2461
-13.1051
-18.4536
9.35706
3.31778
-9.62075
18.7282
89.7837
-23.6847
13.0052
21.7361
-3.67581
-28.9609
-76.9933
-32.6912
49.3754
17.3415
-49.6868
25.4617
-21.8287
-12.7843
14.6583
-21.7871
9.07381
48.8847
-33.9381
10.7993
13.2289
-33.8785
-23.4321
7.38082
39.5195
-41.808
9.4401
1.73577
-11.3687
14.4103
36.7927
11.4415
3.58295
42.2508
-29.7848
-79.3484
-47.2454
22.0011
-55.9352
-1.49485
-25.0235
-28.1147
15.2404
64.3234
-1.89631
29.7924
31.3961
-13.8095
-7.75536
10.6631
12.0411
-54.9164
5.60625
-11.4533
36.1205
14.2016
-21.5212
-47.5903
11.8037
25.0071
-31.3808
-9.64807
7.74461
15.2404
8.14127
-17.6636
-23.8619
22.1111
24.4277
-35.2637
25.4359
-11.1429
9.01713
12.6079
19.19
-22.1745
21.192
-67.4088

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275082&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275082&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275082&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-140,-120[-13010.0035970.0035970.00018
[-120,-100[-11010.0035970.0071940.00018
[-100,-80[-9030.0107910.0179860.00054
[-80,-60[-7060.0215830.0395680.001079
[-60,-40[-50160.0575540.0971220.002878
[-40,-20[-30420.1510790.2482010.007554
[-20,0[-10570.2050360.4532370.010252
[0,20[10820.2949640.7482010.014748
[20,40[30490.1762590.924460.008813
[40,60[50130.0467630.9712230.002338
[60,80[7060.0215830.9928060.001079
[80,100[9010.0035970.9964030.00018
[100,120]11010.00359710.00018

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-140,-120[ & -130 & 1 & 0.003597 & 0.003597 & 0.00018 \tabularnewline
[-120,-100[ & -110 & 1 & 0.003597 & 0.007194 & 0.00018 \tabularnewline
[-100,-80[ & -90 & 3 & 0.010791 & 0.017986 & 0.00054 \tabularnewline
[-80,-60[ & -70 & 6 & 0.021583 & 0.039568 & 0.001079 \tabularnewline
[-60,-40[ & -50 & 16 & 0.057554 & 0.097122 & 0.002878 \tabularnewline
[-40,-20[ & -30 & 42 & 0.151079 & 0.248201 & 0.007554 \tabularnewline
[-20,0[ & -10 & 57 & 0.205036 & 0.453237 & 0.010252 \tabularnewline
[0,20[ & 10 & 82 & 0.294964 & 0.748201 & 0.014748 \tabularnewline
[20,40[ & 30 & 49 & 0.176259 & 0.92446 & 0.008813 \tabularnewline
[40,60[ & 50 & 13 & 0.046763 & 0.971223 & 0.002338 \tabularnewline
[60,80[ & 70 & 6 & 0.021583 & 0.992806 & 0.001079 \tabularnewline
[80,100[ & 90 & 1 & 0.003597 & 0.996403 & 0.00018 \tabularnewline
[100,120] & 110 & 1 & 0.003597 & 1 & 0.00018 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275082&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][-140,-120[[/C][C]-130[/C][C]1[/C][C]0.003597[/C][C]0.003597[/C][C]0.00018[/C][/ROW]
[ROW][C][-120,-100[[/C][C]-110[/C][C]1[/C][C]0.003597[/C][C]0.007194[/C][C]0.00018[/C][/ROW]
[ROW][C][-100,-80[[/C][C]-90[/C][C]3[/C][C]0.010791[/C][C]0.017986[/C][C]0.00054[/C][/ROW]
[ROW][C][-80,-60[[/C][C]-70[/C][C]6[/C][C]0.021583[/C][C]0.039568[/C][C]0.001079[/C][/ROW]
[ROW][C][-60,-40[[/C][C]-50[/C][C]16[/C][C]0.057554[/C][C]0.097122[/C][C]0.002878[/C][/ROW]
[ROW][C][-40,-20[[/C][C]-30[/C][C]42[/C][C]0.151079[/C][C]0.248201[/C][C]0.007554[/C][/ROW]
[ROW][C][-20,0[[/C][C]-10[/C][C]57[/C][C]0.205036[/C][C]0.453237[/C][C]0.010252[/C][/ROW]
[ROW][C][0,20[[/C][C]10[/C][C]82[/C][C]0.294964[/C][C]0.748201[/C][C]0.014748[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]49[/C][C]0.176259[/C][C]0.92446[/C][C]0.008813[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]13[/C][C]0.046763[/C][C]0.971223[/C][C]0.002338[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]6[/C][C]0.021583[/C][C]0.992806[/C][C]0.001079[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]1[/C][C]0.003597[/C][C]0.996403[/C][C]0.00018[/C][/ROW]
[ROW][C][100,120][/C][C]110[/C][C]1[/C][C]0.003597[/C][C]1[/C][C]0.00018[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275082&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275082&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
[-140,-120[-13010.0035970.0035970.00018
[-120,-100[-11010.0035970.0071940.00018
[-100,-80[-9030.0107910.0179860.00054
[-80,-60[-7060.0215830.0395680.001079
[-60,-40[-50160.0575540.0971220.002878
[-40,-20[-30420.1510790.2482010.007554
[-20,0[-10570.2050360.4532370.010252
[0,20[10820.2949640.7482010.014748
[20,40[30490.1762590.924460.008813
[40,60[50130.0467630.9712230.002338
[60,80[7060.0215830.9928060.001079
[80,100[9010.0035970.9964030.00018
[100,120]11010.00359710.00018


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = FALSE ; par2 = -0.3 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 0 ; par8 = 2 ; par9 = 0 ;
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')
}