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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 19 May 2016 17:14:08 +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/2016/May/19/t1463674512flvdt5wdi8b13bq.htm/, Retrieved Sat, 27 Apr 2024 06:13:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295399, Retrieved Sat, 27 Apr 2024 06:13:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMevrouw
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-05-19 16:14:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
11
11
11
11
13
14
14
13
16
14
14
14
13
14
14
12
14
14
14
16
14
14
14
23
11
13
14
11
14
14
11
19
13
7
13
14
11
9
5
14
13
14
23
11
14
14
11
23
13
14
14
14
14
14
14
13
16
18
13
12
10
11
14
14
14
14
9
13
11
11
13
14
14
11
14
14
14
13
20
14
14
16
14
14
11
23
18
9
16
10
14
11
14
14
13
23
20
14
12
14
13
16
9
13
11
14
20
16
14
14
18
9
12
13
9
11
14
14
11
14
10
11
14
14
18
14
18
16
18
14
11
15
14
14
14
16
15
16
14
18
13
11
12
14
14
16
9
14
14
11
11
14
14
14
18
18
14
18
9
23
9
14
14
14
14
11
14
14
14
14
14
14
10
14
11
23
9
10
11
13
12
18
14
14
16
9
13
11
14
14
14
23
14
16
14
14
14
16
14
16
7
14
9
16
18
14
14
18
13
14
9
16
23
14
14
18
14
23
8
7
14
10
13
14
16
14
10
14
11
12
11
14
9
11
14
13
18
14
14
14
18
17
9
11
14
14
16
14
14
14
16
14
11
14
11
14
16
14
14
14
14
14
11
14
11
16
14
14
14
14
14
14
16
14
14
9
9
14
16
14
18
13
12
18
11
16
14
10
14
12
16
14
9
14
11
23
14
14
13
16
13
11
14
20
14
11
13
11
18
14
14
18
14
14
13
16
16
14
14
12
14
14
13
23
14
14
9
11
11
14
12
13
23
23
14
14
18
9
14
14
14
11
14
14
14
14
18
11
16
14
14
16
9
9
23
16
13
23
18
14
20
14
18
14
13
11
18
16
11
9
14
14
14
14
7
14
14
14
14
14
11
14
14
14
14
11
11
18
14
15
18
12
14
17
11
13
14
11
13
14
14
14
14
14
10
11
14
18
14
13
11
14
14
13
14
14
14
16
14
16
14
5
7
11
14
14
14
11
9
14
16
16
13
18
14
18
14
11
14
9
13
13
14
11
14
23
14
14
13
14
16
9
14
14
14
14
14
18
14
14
16
11
14
23
14
14
14
14
11
14
14
14
11
14
14
14
11
14
14
12
14
14
14
14
11
9
14
16
14
9
9
11
14
14
14
14
13
16
11
14
14
16
16
14
9
14
14
14
11
14
14
12
14
11
14
23
14
9
13
14
14
14
14
14
18
14
16
12
14
11
13
11
14
11
14
13
11
9
14
11
14
14
13
14
14
14
14
11
11
14
14
27
9
14
16
11
14
11
14
18
11
14
13
13
14
13
12
8
14
18
14
14
14
14
14
13
14
14
14
16
14
14
14
9
13
9
14
14
11
14
18
14
14
11
18
14
14
13
11
14
16
14
9
14
9
11
14
18
11
21
9
9
14
14
11
14
11
18
13
18
13
14
14
14
16
14
9
14
11
14
18
14
14
7
16
8
14
11
14
14
14
7
9
14
11
14
9
14
14
14
11
18
23
14
14
16
14
14
7
14
11
14
14
12
14
11
11
14
14
14
23
14
11
14
11
14
12
11
15
14
11
14
16
14
18
14
14
13
14
13
14
23
14
7
14
11
23
14
14
16
16
11
10
14
14
14
16
11
7
14
13
14
7
14
18
13
14
11
11
23
14
0
14
14
14
16
14
14
16
14
9
9
9
14
16
14
11
13
16
18
14
16
13
14
14
14
13
14
14
14
14
14
14
14
16
14
14
14
11
23
14
14
14
11
11
16
14
16
14
13
14
16
14
14
16
11
11
13
16
23
14
14
13
14
14
14
9
14
14
9
14
11
9
14
23
9
18
18
14
13
16
11
9
9
9
13
16
14
13
14
14
16
12
14
11
11
14
14
14
11
16
14
16
16
14
13
14
12
14
12
14
14
23
11
14
14
14
18
14
14
11
16
14
14
9
14
18
14
12
14
18
14
14
12
16
16
12
23
14
14
11
14
18
11
14
11
14
7
18
14
11
14
14
14
14
14
11
11
14
9
8
11
14
13
6
12
14
14
14
14
11
14
16
13
14
13
14
14
11
20
13
14
14
11
11
13
14
14
14
13
14
10
16
16
5
14
13
20
14
13
14
7
23
16
11
11
14
14
14
14
14
18
13
11
14
11
14
11
11
14
16
14
11
9
14
14
14
7
14
16
23
16
14
14
11
14
14
7
14
11
14
14
11
13
14
14
18
11
14
14
11
16
13
14
11
14
14
11
14
14
14
11
16
11
13
11
14
14
23
14
14
0
14
14
14
9
11
11
16
11
14
11
23
9
20
11
16
14
18
16
14
14
14
14
10
14
11
14
7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295399&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295399&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,1[0.520.0019630.0019630.001963
[1,2[1.5000.0019630
[2,3[2.5000.0019630
[3,4[3.5000.0019630
[4,5[4.5000.0019630
[5,6[5.530.0029440.0049070.002944
[6,7[6.510.0009810.0058880.000981
[7,8[7.5160.0157020.021590.015702
[8,9[8.540.0039250.0255150.003925
[9,10[9.5570.0559370.0814520.055937
[10,11[10.5120.0117760.0932290.011776
[11,12[11.51470.1442590.2374880.144259
[12,13[12.5250.0245340.2620220.024534
[13,14[13.5790.0775270.3395490.077527
[14,15[14.54830.4739940.8135430.473994
[15,16[15.540.0039250.8174680.003925
[16,17[16.5860.0843960.9018650.084396
[17,18[17.520.0019630.9038270.001963
[18,19[18.5540.0529930.956820.052993
[19,20[19.510.0009810.9578020.000981
[20,21[20.580.0078510.9656530.007851
[21,22[21.510.0009810.9666340.000981
[22,23[22.5000.9666340
[23,24[23.5330.0323850.9990190.032385
[24,25[24.5000.9990190
[25,26[25.5000.9990190
[26,27]26.510.00098110.000981

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 2 & 0.001963 & 0.001963 & 0.001963 \tabularnewline
[1,2[ & 1.5 & 0 & 0 & 0.001963 & 0 \tabularnewline
[2,3[ & 2.5 & 0 & 0 & 0.001963 & 0 \tabularnewline
[3,4[ & 3.5 & 0 & 0 & 0.001963 & 0 \tabularnewline
[4,5[ & 4.5 & 0 & 0 & 0.001963 & 0 \tabularnewline
[5,6[ & 5.5 & 3 & 0.002944 & 0.004907 & 0.002944 \tabularnewline
[6,7[ & 6.5 & 1 & 0.000981 & 0.005888 & 0.000981 \tabularnewline
[7,8[ & 7.5 & 16 & 0.015702 & 0.02159 & 0.015702 \tabularnewline
[8,9[ & 8.5 & 4 & 0.003925 & 0.025515 & 0.003925 \tabularnewline
[9,10[ & 9.5 & 57 & 0.055937 & 0.081452 & 0.055937 \tabularnewline
[10,11[ & 10.5 & 12 & 0.011776 & 0.093229 & 0.011776 \tabularnewline
[11,12[ & 11.5 & 147 & 0.144259 & 0.237488 & 0.144259 \tabularnewline
[12,13[ & 12.5 & 25 & 0.024534 & 0.262022 & 0.024534 \tabularnewline
[13,14[ & 13.5 & 79 & 0.077527 & 0.339549 & 0.077527 \tabularnewline
[14,15[ & 14.5 & 483 & 0.473994 & 0.813543 & 0.473994 \tabularnewline
[15,16[ & 15.5 & 4 & 0.003925 & 0.817468 & 0.003925 \tabularnewline
[16,17[ & 16.5 & 86 & 0.084396 & 0.901865 & 0.084396 \tabularnewline
[17,18[ & 17.5 & 2 & 0.001963 & 0.903827 & 0.001963 \tabularnewline
[18,19[ & 18.5 & 54 & 0.052993 & 0.95682 & 0.052993 \tabularnewline
[19,20[ & 19.5 & 1 & 0.000981 & 0.957802 & 0.000981 \tabularnewline
[20,21[ & 20.5 & 8 & 0.007851 & 0.965653 & 0.007851 \tabularnewline
[21,22[ & 21.5 & 1 & 0.000981 & 0.966634 & 0.000981 \tabularnewline
[22,23[ & 22.5 & 0 & 0 & 0.966634 & 0 \tabularnewline
[23,24[ & 23.5 & 33 & 0.032385 & 0.999019 & 0.032385 \tabularnewline
[24,25[ & 24.5 & 0 & 0 & 0.999019 & 0 \tabularnewline
[25,26[ & 25.5 & 0 & 0 & 0.999019 & 0 \tabularnewline
[26,27] & 26.5 & 1 & 0.000981 & 1 & 0.000981 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295399&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]0.001963[/C][C]0.001963[/C][C]0.001963[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]0[/C][C]0[/C][C]0.001963[/C][C]0[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]0[/C][C]0[/C][C]0.001963[/C][C]0[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.001963[/C][C]0[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]0[/C][C]0[/C][C]0.001963[/C][C]0[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]3[/C][C]0.002944[/C][C]0.004907[/C][C]0.002944[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]1[/C][C]0.000981[/C][C]0.005888[/C][C]0.000981[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]16[/C][C]0.015702[/C][C]0.02159[/C][C]0.015702[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]4[/C][C]0.003925[/C][C]0.025515[/C][C]0.003925[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]57[/C][C]0.055937[/C][C]0.081452[/C][C]0.055937[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]12[/C][C]0.011776[/C][C]0.093229[/C][C]0.011776[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]147[/C][C]0.144259[/C][C]0.237488[/C][C]0.144259[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]25[/C][C]0.024534[/C][C]0.262022[/C][C]0.024534[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]79[/C][C]0.077527[/C][C]0.339549[/C][C]0.077527[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]483[/C][C]0.473994[/C][C]0.813543[/C][C]0.473994[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]4[/C][C]0.003925[/C][C]0.817468[/C][C]0.003925[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]86[/C][C]0.084396[/C][C]0.901865[/C][C]0.084396[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]2[/C][C]0.001963[/C][C]0.903827[/C][C]0.001963[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]54[/C][C]0.052993[/C][C]0.95682[/C][C]0.052993[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]1[/C][C]0.000981[/C][C]0.957802[/C][C]0.000981[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]8[/C][C]0.007851[/C][C]0.965653[/C][C]0.007851[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]1[/C][C]0.000981[/C][C]0.966634[/C][C]0.000981[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]0[/C][C]0[/C][C]0.966634[/C][C]0[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]33[/C][C]0.032385[/C][C]0.999019[/C][C]0.032385[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]0[/C][C]0[/C][C]0.999019[/C][C]0[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]0[/C][C]0[/C][C]0.999019[/C][C]0[/C][/ROW]
[ROW][C][26,27][/C][C]26.5[/C][C]1[/C][C]0.000981[/C][C]1[/C][C]0.000981[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295399&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
[0,1[0.520.0019630.0019630.001963
[1,2[1.5000.0019630
[2,3[2.5000.0019630
[3,4[3.5000.0019630
[4,5[4.5000.0019630
[5,6[5.530.0029440.0049070.002944
[6,7[6.510.0009810.0058880.000981
[7,8[7.5160.0157020.021590.015702
[8,9[8.540.0039250.0255150.003925
[9,10[9.5570.0559370.0814520.055937
[10,11[10.5120.0117760.0932290.011776
[11,12[11.51470.1442590.2374880.144259
[12,13[12.5250.0245340.2620220.024534
[13,14[13.5790.0775270.3395490.077527
[14,15[14.54830.4739940.8135430.473994
[15,16[15.540.0039250.8174680.003925
[16,17[16.5860.0843960.9018650.084396
[17,18[17.520.0019630.9038270.001963
[18,19[18.5540.0529930.956820.052993
[19,20[19.510.0009810.9578020.000981
[20,21[20.580.0078510.9656530.007851
[21,22[21.510.0009810.9666340.000981
[22,23[22.5000.9666340
[23,24[23.5330.0323850.9990190.032385
[24,25[24.5000.9990190
[25,26[25.5000.9990190
[26,27]26.510.00098110.000981



Parameters (Session):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '12'
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')
}