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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 12 Mar 2009 11:24:24 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/12/t1236878706fp1j2flcypxqn7l.htm/, Retrieved Thu, 02 May 2024 07:00:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38993, Retrieved Thu, 02 May 2024 07:00:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Opgave 1 - Freque...] [2009-03-12 17:03:12] [45c25fda10941f237bc60547b0ee7b37]
-   P     [Histogram] [Opgave 2 - Histog...] [2009-03-12 17:24:24] [be8f2ceb4bab9280e3447d0ad1b6c819] [Current]
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Dataseries X:
3.27
3.27
3.27
3.27
3.27
3.28
3.32
3.34
3.34
3.35
3.35
3.35
3.35
3.35
3.4
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.43
3.47
3.51
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.58
3.6
3.61
3.61
3.61
3.63
3.68
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.78
3.79
3.79
3.8
3.8
3.8
3.8
3.81
3.95
3.99
4
4.06
4.16
4.19
4.2
4.2
4.2
4.2
4.2
4.23
4.38
4.43
4.44
4.44
4.44
4.44
4.44
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.46
4.46
4.46
4.48
4.58
4.67
4.68
4.68
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38993&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38993&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38993&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3.2,3.3[3.2560.0458020.0458020.458015
[3.3,3.4[3.3580.0610690.106870.610687
[3.4,3.5[3.45140.106870.213741.068702
[3.5,3.6[3.55110.0839690.297710.839695
[3.6,3.7[3.65140.106870.404581.068702
[3.7,3.8[3.7530.0229010.4274810.229008
[3.8,3.9[3.8550.0381680.4656490.381679
[3.9,4[3.9520.0152670.4809160.152672
[4,4.1[4.0520.0152670.4961830.152672
[4.1,4.2[4.1520.0152670.511450.152672
[4.2,4.3[4.2560.0458020.5572520.458015
[4.3,4.4[4.3510.0076340.5648850.076336
[4.4,4.5[4.45180.1374050.702291.374046
[4.5,4.6[4.5510.0076340.7099240.076336
[4.6,4.7[4.65100.0763360.786260.763359
[4.7,4.8[4.7540.0305340.8167940.305344
[4.8,4.9[4.8530.0229010.8396950.229008
[4.9,5[4.95000.8396950
[5,5.1[5.05000.8396950
[5.1,5.2[5.1510.0076340.8473280.076336
[5.2,5.3[5.2540.0305340.8778630.305344
[5.3,5.4[5.3590.0687020.9465650.687023
[5.4,5.5]5.4570.05343510.534351

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3.2,3.3[ & 3.25 & 6 & 0.045802 & 0.045802 & 0.458015 \tabularnewline
[3.3,3.4[ & 3.35 & 8 & 0.061069 & 0.10687 & 0.610687 \tabularnewline
[3.4,3.5[ & 3.45 & 14 & 0.10687 & 0.21374 & 1.068702 \tabularnewline
[3.5,3.6[ & 3.55 & 11 & 0.083969 & 0.29771 & 0.839695 \tabularnewline
[3.6,3.7[ & 3.65 & 14 & 0.10687 & 0.40458 & 1.068702 \tabularnewline
[3.7,3.8[ & 3.75 & 3 & 0.022901 & 0.427481 & 0.229008 \tabularnewline
[3.8,3.9[ & 3.85 & 5 & 0.038168 & 0.465649 & 0.381679 \tabularnewline
[3.9,4[ & 3.95 & 2 & 0.015267 & 0.480916 & 0.152672 \tabularnewline
[4,4.1[ & 4.05 & 2 & 0.015267 & 0.496183 & 0.152672 \tabularnewline
[4.1,4.2[ & 4.15 & 2 & 0.015267 & 0.51145 & 0.152672 \tabularnewline
[4.2,4.3[ & 4.25 & 6 & 0.045802 & 0.557252 & 0.458015 \tabularnewline
[4.3,4.4[ & 4.35 & 1 & 0.007634 & 0.564885 & 0.076336 \tabularnewline
[4.4,4.5[ & 4.45 & 18 & 0.137405 & 0.70229 & 1.374046 \tabularnewline
[4.5,4.6[ & 4.55 & 1 & 0.007634 & 0.709924 & 0.076336 \tabularnewline
[4.6,4.7[ & 4.65 & 10 & 0.076336 & 0.78626 & 0.763359 \tabularnewline
[4.7,4.8[ & 4.75 & 4 & 0.030534 & 0.816794 & 0.305344 \tabularnewline
[4.8,4.9[ & 4.85 & 3 & 0.022901 & 0.839695 & 0.229008 \tabularnewline
[4.9,5[ & 4.95 & 0 & 0 & 0.839695 & 0 \tabularnewline
[5,5.1[ & 5.05 & 0 & 0 & 0.839695 & 0 \tabularnewline
[5.1,5.2[ & 5.15 & 1 & 0.007634 & 0.847328 & 0.076336 \tabularnewline
[5.2,5.3[ & 5.25 & 4 & 0.030534 & 0.877863 & 0.305344 \tabularnewline
[5.3,5.4[ & 5.35 & 9 & 0.068702 & 0.946565 & 0.687023 \tabularnewline
[5.4,5.5] & 5.45 & 7 & 0.053435 & 1 & 0.534351 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38993&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][3.2,3.3[[/C][C]3.25[/C][C]6[/C][C]0.045802[/C][C]0.045802[/C][C]0.458015[/C][/ROW]
[ROW][C][3.3,3.4[[/C][C]3.35[/C][C]8[/C][C]0.061069[/C][C]0.10687[/C][C]0.610687[/C][/ROW]
[ROW][C][3.4,3.5[[/C][C]3.45[/C][C]14[/C][C]0.10687[/C][C]0.21374[/C][C]1.068702[/C][/ROW]
[ROW][C][3.5,3.6[[/C][C]3.55[/C][C]11[/C][C]0.083969[/C][C]0.29771[/C][C]0.839695[/C][/ROW]
[ROW][C][3.6,3.7[[/C][C]3.65[/C][C]14[/C][C]0.10687[/C][C]0.40458[/C][C]1.068702[/C][/ROW]
[ROW][C][3.7,3.8[[/C][C]3.75[/C][C]3[/C][C]0.022901[/C][C]0.427481[/C][C]0.229008[/C][/ROW]
[ROW][C][3.8,3.9[[/C][C]3.85[/C][C]5[/C][C]0.038168[/C][C]0.465649[/C][C]0.381679[/C][/ROW]
[ROW][C][3.9,4[[/C][C]3.95[/C][C]2[/C][C]0.015267[/C][C]0.480916[/C][C]0.152672[/C][/ROW]
[ROW][C][4,4.1[[/C][C]4.05[/C][C]2[/C][C]0.015267[/C][C]0.496183[/C][C]0.152672[/C][/ROW]
[ROW][C][4.1,4.2[[/C][C]4.15[/C][C]2[/C][C]0.015267[/C][C]0.51145[/C][C]0.152672[/C][/ROW]
[ROW][C][4.2,4.3[[/C][C]4.25[/C][C]6[/C][C]0.045802[/C][C]0.557252[/C][C]0.458015[/C][/ROW]
[ROW][C][4.3,4.4[[/C][C]4.35[/C][C]1[/C][C]0.007634[/C][C]0.564885[/C][C]0.076336[/C][/ROW]
[ROW][C][4.4,4.5[[/C][C]4.45[/C][C]18[/C][C]0.137405[/C][C]0.70229[/C][C]1.374046[/C][/ROW]
[ROW][C][4.5,4.6[[/C][C]4.55[/C][C]1[/C][C]0.007634[/C][C]0.709924[/C][C]0.076336[/C][/ROW]
[ROW][C][4.6,4.7[[/C][C]4.65[/C][C]10[/C][C]0.076336[/C][C]0.78626[/C][C]0.763359[/C][/ROW]
[ROW][C][4.7,4.8[[/C][C]4.75[/C][C]4[/C][C]0.030534[/C][C]0.816794[/C][C]0.305344[/C][/ROW]
[ROW][C][4.8,4.9[[/C][C]4.85[/C][C]3[/C][C]0.022901[/C][C]0.839695[/C][C]0.229008[/C][/ROW]
[ROW][C][4.9,5[[/C][C]4.95[/C][C]0[/C][C]0[/C][C]0.839695[/C][C]0[/C][/ROW]
[ROW][C][5,5.1[[/C][C]5.05[/C][C]0[/C][C]0[/C][C]0.839695[/C][C]0[/C][/ROW]
[ROW][C][5.1,5.2[[/C][C]5.15[/C][C]1[/C][C]0.007634[/C][C]0.847328[/C][C]0.076336[/C][/ROW]
[ROW][C][5.2,5.3[[/C][C]5.25[/C][C]4[/C][C]0.030534[/C][C]0.877863[/C][C]0.305344[/C][/ROW]
[ROW][C][5.3,5.4[[/C][C]5.35[/C][C]9[/C][C]0.068702[/C][C]0.946565[/C][C]0.687023[/C][/ROW]
[ROW][C][5.4,5.5][/C][C]5.45[/C][C]7[/C][C]0.053435[/C][C]1[/C][C]0.534351[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38993&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38993&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
[3.2,3.3[3.2560.0458020.0458020.458015
[3.3,3.4[3.3580.0610690.106870.610687
[3.4,3.5[3.45140.106870.213741.068702
[3.5,3.6[3.55110.0839690.297710.839695
[3.6,3.7[3.65140.106870.404581.068702
[3.7,3.8[3.7530.0229010.4274810.229008
[3.8,3.9[3.8550.0381680.4656490.381679
[3.9,4[3.9520.0152670.4809160.152672
[4,4.1[4.0520.0152670.4961830.152672
[4.1,4.2[4.1520.0152670.511450.152672
[4.2,4.3[4.2560.0458020.5572520.458015
[4.3,4.4[4.3510.0076340.5648850.076336
[4.4,4.5[4.45180.1374050.702291.374046
[4.5,4.6[4.5510.0076340.7099240.076336
[4.6,4.7[4.65100.0763360.786260.763359
[4.7,4.8[4.7540.0305340.8167940.305344
[4.8,4.9[4.8530.0229010.8396950.229008
[4.9,5[4.95000.8396950
[5,5.1[5.05000.8396950
[5.1,5.2[5.1510.0076340.8473280.076336
[5.2,5.3[5.2540.0305340.8778630.305344
[5.3,5.4[5.3590.0687020.9465650.687023
[5.4,5.5]5.4570.05343510.534351



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):
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.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)
}
dev.off()
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')