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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, 29 Oct 2024 20:03:22 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2024/Oct/29/t1730228618hwerf7ndwthfkcg.htm/, Retrieved Mon, 20 Apr 2026 21:44:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=320149, Retrieved Mon, 20 Apr 2026 21:44:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact240

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2024-10-29 19:03:22] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.024096
0.064706
0.047845
-0.015915
-0.029650
-0.038000
-0.008721
0.026393
-0.019086
-0.002933
0.079412
0.060817
0.074935
0.024752
0.137681
-0.059448
0.131648
0.056112
0.085996
0.117544
-0.048666
0.026115
0.021807
0.032622
-0.010370
0.119761
-0.020053
-0.024011
-0.037868
0.067055
-0.034973
-0.187500
0.005245
0.221009
0.009273
-0.070724
-0.068248
0.009524
-0.045283
0.083874
-0.023766
0.022472
-0.033993
-0.133080
-0.092105
0.208792
0.018036
-0.084646
-0.130237
-0.213400
0.167192
0.087676
0.084788
-0.091954
0.011241
0.128141
-0.008909
0.200989
0.140713
0.011513
-0.095155
0.002594
0.116446
-0.021890
0.000792
0.060390
0.034569
0.017586
-0.076705
-0.048205
0.065352
-0.003042
-0.031782
0.057910
0.002488
0.017126
-0.012962
-0.053518
-0.048953
0.030629
-0.082731
0.047577
0.037430
-0.016424
-0.014782
0.011421
-0.014046
0.084916
-0.003355
-0.035474
0.093423
-0.006890
0.006938
0.082431
0.005014
0.032653
0.044137
0.098651
0.034152
-0.032534
0.041314
-0.005167
-0.028253
-0.015302
0.033023
0.017864
0.016475
0.040612
-0.042527
-0.045604
0.003838
0.023563
-0.012727
-0.010427
0.003448
0.008992
0.001706
0.002082
0.024418
0.027347
0.010971
-0.025490
0.044449
0.054641
-0.020462
0.031250
-0.001976
0.028775
0.014467
-0.020599
0.024968
0.008542
0.021330
-0.016464
0.026126
0.043299
0.026501
-0.044359
-0.079552
0.000325
0.012346
0.047657
-0.053407
-0.018645
0.009582
-0.011807
-0.002489
0.079354
-0.020544
-0.075067
-0.007843
0.029113
0.001004
-0.299164
-0.134546
0.240387
-0.328859
-0.313333
0.273301
0.123523
0.369247
-0.077689
0.058315
0.090886
0.022530
-0.065162
0.070936
0.010810
0.025028
0.035635
0.153979
0.000561
-0.037542
-0.036290
0.071905
-0.070096
0.080041
0.077907
0.003317
0.039499
0.045531
0.047352
0.021303
0.006618
-0.006799
-0.032579
-0.055426
-0.053974
-0.087673
0.177567
0.040557
0.018784
0.055312
0.060653
0.029108
-0.019860
-0.042086
0.083369
-0.012859
0.028744
0.003322
-0.011879
0.027673
-0.006155
0.081092
0.008616
0.064246
0.040803
0.039311
0.009766
0.093798
-0.030810
0.050225
0.009399
0.043096
0.030526
-0.038388
0.031404
0.015353
0.015121
0.017817
0.012233
-0.034302
0.034319
-0.039963
0.013685
0.014917
0.010171
-0.075688
0.063511
0.033897
0.021668
0.017109
0.022516
0.058227
-0.051128
-0.032928
0.028546
0.044992
-0.057077
-0.046973
-0.057416
0.060133
0.068870
0.064605
0.005355
0.000809
0.045418
-0.012214
-0.005322
0.105346
0.052361
-0.001085
0.054256
-0.004385
-0.004284
-0.015774
0.015232
0.032288
-0.025326
0.040535
0.052316
0.056104
0.020934
0.003197
-0.060319
-0.014057
0.032434
-0.022020
-0.040316
0.083773
-0.001703
-0.013990
-0.021571
0.020671
-0.137484
0.125990
-0.014327
-0.007389
0.071782
-0.024527
0.046193
0.022720
-0.022558
0.072821
0.018197
0.055790
0.024231
-0.007767
-0.111260
-0.223290
0.146693
-0.064610
-0.036224
0.074869
0.036181
-0.031280
0.017240
0.148107
0.019979
-0.046151
0.033300
0.034582
0.062688
0.028588
-0.096471
-0.020394
0.031790
-0.073280
0.002106
-0.027859
0.082967
0.093657
-0.013099
-0.003566
-0.022987
-0.005200
-0.001025
0.035575
-0.035143
0.025826
0.160757
0.038435
0.004918
0.004210
0.006951
-0.094051
-0.013634
-0.049207
0.062415
0.025315
-0.005349
-0.025455
0.072243
0.058181
-0.011451
0.006226
0.057309
-0.077673
-0.332603
0.041268
-0.002425
0.119643
0.130178
0.006940

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=320149&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=320149&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=320149&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-0.4,-0.3[-0.3530.0086960.0086960.086957
[-0.3,-0.2[-0.2530.0086960.0173910.086957
[-0.2,-0.1[-0.1560.0173910.0347830.173913
[-0.1,0[-0.051260.3652170.43.652174
[0,0.1[0.051830.5304350.9304355.304348
[0.1,0.2[0.15180.0521740.9826090.521739
[0.2,0.3[0.2550.0144930.9971010.144928
[0.3,0.4]0.3510.00289910.028986

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-0.4,-0.3[ & -0.35 & 3 & 0.008696 & 0.008696 & 0.086957 \tabularnewline
[-0.3,-0.2[ & -0.25 & 3 & 0.008696 & 0.017391 & 0.086957 \tabularnewline
[-0.2,-0.1[ & -0.15 & 6 & 0.017391 & 0.034783 & 0.173913 \tabularnewline
[-0.1,0[ & -0.05 & 126 & 0.365217 & 0.4 & 3.652174 \tabularnewline
[0,0.1[ & 0.05 & 183 & 0.530435 & 0.930435 & 5.304348 \tabularnewline
[0.1,0.2[ & 0.15 & 18 & 0.052174 & 0.982609 & 0.521739 \tabularnewline
[0.2,0.3[ & 0.25 & 5 & 0.014493 & 0.997101 & 0.144928 \tabularnewline
[0.3,0.4] & 0.35 & 1 & 0.002899 & 1 & 0.028986 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=320149&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][-0.4,-0.3[[/C][C]-0.35[/C][C]3[/C][C]0.008696[/C][C]0.008696[/C][C]0.086957[/C][/ROW]
[ROW][C][-0.3,-0.2[[/C][C]-0.25[/C][C]3[/C][C]0.008696[/C][C]0.017391[/C][C]0.086957[/C][/ROW]
[ROW][C][-0.2,-0.1[[/C][C]-0.15[/C][C]6[/C][C]0.017391[/C][C]0.034783[/C][C]0.173913[/C][/ROW]
[ROW][C][-0.1,0[[/C][C]-0.05[/C][C]126[/C][C]0.365217[/C][C]0.4[/C][C]3.652174[/C][/ROW]
[ROW][C][0,0.1[[/C][C]0.05[/C][C]183[/C][C]0.530435[/C][C]0.930435[/C][C]5.304348[/C][/ROW]
[ROW][C][0.1,0.2[[/C][C]0.15[/C][C]18[/C][C]0.052174[/C][C]0.982609[/C][C]0.521739[/C][/ROW]
[ROW][C][0.2,0.3[[/C][C]0.25[/C][C]5[/C][C]0.014493[/C][C]0.997101[/C][C]0.144928[/C][/ROW]
[ROW][C][0.3,0.4][/C][C]0.35[/C][C]1[/C][C]0.002899[/C][C]1[/C][C]0.028986[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=320149&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=320149&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
[-0.4,-0.3[-0.3530.0086960.0086960.086957
[-0.3,-0.2[-0.2530.0086960.0173910.086957
[-0.2,-0.1[-0.1560.0173910.0347830.173913
[-0.1,0[-0.051260.3652170.43.652174
[0,0.1[0.051830.5304350.9304355.304348
[0.1,0.2[0.15180.0521740.9826090.521739
[0.2,0.3[0.2550.0144930.9971010.144928
[0.3,0.4]0.3510.00289910.028986


Figures (Output of Computation)

Input Parameters & R Code

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)
if (par4 == '11-point Likert') par1 <- c(1:11 - 0.5, 11.5)
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,'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')
}