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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 10 Mar 2009 06:48:55 -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/10/t1236689425aysns17nimabxr0.htm/, Retrieved Sat, 27 Apr 2024 04:13:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38876, Retrieved Sat, 27 Apr 2024 04:13:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2009-02-11 10:24:43] [c9bc6565a1493302ae13b562d3dbd088]
-   PD    [Histogram] [histogram: US ban...] [2009-03-10 12:48:55] [fdf7830da3b848d6573b37ca02f369a1] [Current]
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Dataseries X:
1,73
1,75
1,75
1,75
1,73
1,74
1,75
1,75
1,34
1,24
1,24
1,26
1,25
1,26
1,26
1,22
1,01
1,03
1,01
1,01
1
0,98
1
1,01
1
1
1
1,03
1,26
1,43
1,61
1,76
1,93
2,16
2,28
2,5
2,63
2,79
3
3,04
3,26
3,5
3,62
3,78
4
4,16
4,29
4,49
4,59
4,79
4,94
4,99
5,24
5,25
5,25
5,25
5,25
5,24
5,25
5,26
5,26
5,25
5,25
5,25
5,26
5,02
4,94
4,76
4,49
4,24
3,94
2,98
2,61
2,28
1,98
2
2,01
2
1,81
0,97
0,39
0,16
0,15
0,22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 11 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38876&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38876&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38876&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 time11 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,0.2[0.120.023810.023810.119048
[0.2,0.4[0.320.023810.0476190.119048
[0.4,0.6[0.5000.0476190
[0.6,0.8[0.7000.0476190
[0.8,1[0.920.023810.0714290.119048
[1,1.2[1.1110.1309520.2023810.654762
[1.2,1.4[1.390.1071430.3095240.535714
[1.4,1.6[1.510.0119050.3214290.059524
[1.6,1.8[1.7100.1190480.4404760.595238
[1.8,2[1.930.0357140.476190.178571
[2,2.2[2.140.0476190.523810.238095
[2.2,2.4[2.320.023810.5476190.119048
[2.4,2.6[2.510.0119050.5595240.059524
[2.6,2.8[2.730.0357140.5952380.178571
[2.8,3[2.910.0119050.6071430.059524
[3,3.2[3.120.023810.6309520.119048
[3.2,3.4[3.310.0119050.6428570.059524
[3.4,3.6[3.510.0119050.6547620.059524
[3.6,3.8[3.720.023810.6785710.119048
[3.8,4[3.910.0119050.6904760.059524
[4,4.2[4.120.023810.7142860.119048
[4.2,4.4[4.320.023810.7380950.119048
[4.4,4.6[4.530.0357140.773810.178571
[4.6,4.8[4.720.023810.7976190.119048
[4.8,5[4.930.0357140.8333330.178571
[5,5.2[5.110.0119050.8452380.059524
[5.2,5.4]5.3130.15476210.773809

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,0.2[ & 0.1 & 2 & 0.02381 & 0.02381 & 0.119048 \tabularnewline
[0.2,0.4[ & 0.3 & 2 & 0.02381 & 0.047619 & 0.119048 \tabularnewline
[0.4,0.6[ & 0.5 & 0 & 0 & 0.047619 & 0 \tabularnewline
[0.6,0.8[ & 0.7 & 0 & 0 & 0.047619 & 0 \tabularnewline
[0.8,1[ & 0.9 & 2 & 0.02381 & 0.071429 & 0.119048 \tabularnewline
[1,1.2[ & 1.1 & 11 & 0.130952 & 0.202381 & 0.654762 \tabularnewline
[1.2,1.4[ & 1.3 & 9 & 0.107143 & 0.309524 & 0.535714 \tabularnewline
[1.4,1.6[ & 1.5 & 1 & 0.011905 & 0.321429 & 0.059524 \tabularnewline
[1.6,1.8[ & 1.7 & 10 & 0.119048 & 0.440476 & 0.595238 \tabularnewline
[1.8,2[ & 1.9 & 3 & 0.035714 & 0.47619 & 0.178571 \tabularnewline
[2,2.2[ & 2.1 & 4 & 0.047619 & 0.52381 & 0.238095 \tabularnewline
[2.2,2.4[ & 2.3 & 2 & 0.02381 & 0.547619 & 0.119048 \tabularnewline
[2.4,2.6[ & 2.5 & 1 & 0.011905 & 0.559524 & 0.059524 \tabularnewline
[2.6,2.8[ & 2.7 & 3 & 0.035714 & 0.595238 & 0.178571 \tabularnewline
[2.8,3[ & 2.9 & 1 & 0.011905 & 0.607143 & 0.059524 \tabularnewline
[3,3.2[ & 3.1 & 2 & 0.02381 & 0.630952 & 0.119048 \tabularnewline
[3.2,3.4[ & 3.3 & 1 & 0.011905 & 0.642857 & 0.059524 \tabularnewline
[3.4,3.6[ & 3.5 & 1 & 0.011905 & 0.654762 & 0.059524 \tabularnewline
[3.6,3.8[ & 3.7 & 2 & 0.02381 & 0.678571 & 0.119048 \tabularnewline
[3.8,4[ & 3.9 & 1 & 0.011905 & 0.690476 & 0.059524 \tabularnewline
[4,4.2[ & 4.1 & 2 & 0.02381 & 0.714286 & 0.119048 \tabularnewline
[4.2,4.4[ & 4.3 & 2 & 0.02381 & 0.738095 & 0.119048 \tabularnewline
[4.4,4.6[ & 4.5 & 3 & 0.035714 & 0.77381 & 0.178571 \tabularnewline
[4.6,4.8[ & 4.7 & 2 & 0.02381 & 0.797619 & 0.119048 \tabularnewline
[4.8,5[ & 4.9 & 3 & 0.035714 & 0.833333 & 0.178571 \tabularnewline
[5,5.2[ & 5.1 & 1 & 0.011905 & 0.845238 & 0.059524 \tabularnewline
[5.2,5.4] & 5.3 & 13 & 0.154762 & 1 & 0.773809 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38876&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][0,0.2[[/C][C]0.1[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.119048[/C][/ROW]
[ROW][C][0.2,0.4[[/C][C]0.3[/C][C]2[/C][C]0.02381[/C][C]0.047619[/C][C]0.119048[/C][/ROW]
[ROW][C][0.4,0.6[[/C][C]0.5[/C][C]0[/C][C]0[/C][C]0.047619[/C][C]0[/C][/ROW]
[ROW][C][0.6,0.8[[/C][C]0.7[/C][C]0[/C][C]0[/C][C]0.047619[/C][C]0[/C][/ROW]
[ROW][C][0.8,1[[/C][C]0.9[/C][C]2[/C][C]0.02381[/C][C]0.071429[/C][C]0.119048[/C][/ROW]
[ROW][C][1,1.2[[/C][C]1.1[/C][C]11[/C][C]0.130952[/C][C]0.202381[/C][C]0.654762[/C][/ROW]
[ROW][C][1.2,1.4[[/C][C]1.3[/C][C]9[/C][C]0.107143[/C][C]0.309524[/C][C]0.535714[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]1[/C][C]0.011905[/C][C]0.321429[/C][C]0.059524[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]10[/C][C]0.119048[/C][C]0.440476[/C][C]0.595238[/C][/ROW]
[ROW][C][1.8,2[[/C][C]1.9[/C][C]3[/C][C]0.035714[/C][C]0.47619[/C][C]0.178571[/C][/ROW]
[ROW][C][2,2.2[[/C][C]2.1[/C][C]4[/C][C]0.047619[/C][C]0.52381[/C][C]0.238095[/C][/ROW]
[ROW][C][2.2,2.4[[/C][C]2.3[/C][C]2[/C][C]0.02381[/C][C]0.547619[/C][C]0.119048[/C][/ROW]
[ROW][C][2.4,2.6[[/C][C]2.5[/C][C]1[/C][C]0.011905[/C][C]0.559524[/C][C]0.059524[/C][/ROW]
[ROW][C][2.6,2.8[[/C][C]2.7[/C][C]3[/C][C]0.035714[/C][C]0.595238[/C][C]0.178571[/C][/ROW]
[ROW][C][2.8,3[[/C][C]2.9[/C][C]1[/C][C]0.011905[/C][C]0.607143[/C][C]0.059524[/C][/ROW]
[ROW][C][3,3.2[[/C][C]3.1[/C][C]2[/C][C]0.02381[/C][C]0.630952[/C][C]0.119048[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]1[/C][C]0.011905[/C][C]0.642857[/C][C]0.059524[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]1[/C][C]0.011905[/C][C]0.654762[/C][C]0.059524[/C][/ROW]
[ROW][C][3.6,3.8[[/C][C]3.7[/C][C]2[/C][C]0.02381[/C][C]0.678571[/C][C]0.119048[/C][/ROW]
[ROW][C][3.8,4[[/C][C]3.9[/C][C]1[/C][C]0.011905[/C][C]0.690476[/C][C]0.059524[/C][/ROW]
[ROW][C][4,4.2[[/C][C]4.1[/C][C]2[/C][C]0.02381[/C][C]0.714286[/C][C]0.119048[/C][/ROW]
[ROW][C][4.2,4.4[[/C][C]4.3[/C][C]2[/C][C]0.02381[/C][C]0.738095[/C][C]0.119048[/C][/ROW]
[ROW][C][4.4,4.6[[/C][C]4.5[/C][C]3[/C][C]0.035714[/C][C]0.77381[/C][C]0.178571[/C][/ROW]
[ROW][C][4.6,4.8[[/C][C]4.7[/C][C]2[/C][C]0.02381[/C][C]0.797619[/C][C]0.119048[/C][/ROW]
[ROW][C][4.8,5[[/C][C]4.9[/C][C]3[/C][C]0.035714[/C][C]0.833333[/C][C]0.178571[/C][/ROW]
[ROW][C][5,5.2[[/C][C]5.1[/C][C]1[/C][C]0.011905[/C][C]0.845238[/C][C]0.059524[/C][/ROW]
[ROW][C][5.2,5.4][/C][C]5.3[/C][C]13[/C][C]0.154762[/C][C]1[/C][C]0.773809[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38876&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38876&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
[0,0.2[0.120.023810.023810.119048
[0.2,0.4[0.320.023810.0476190.119048
[0.4,0.6[0.5000.0476190
[0.6,0.8[0.7000.0476190
[0.8,1[0.920.023810.0714290.119048
[1,1.2[1.1110.1309520.2023810.654762
[1.2,1.4[1.390.1071430.3095240.535714
[1.4,1.6[1.510.0119050.3214290.059524
[1.6,1.8[1.7100.1190480.4404760.595238
[1.8,2[1.930.0357140.476190.178571
[2,2.2[2.140.0476190.523810.238095
[2.2,2.4[2.320.023810.5476190.119048
[2.4,2.6[2.510.0119050.5595240.059524
[2.6,2.8[2.730.0357140.5952380.178571
[2.8,3[2.910.0119050.6071430.059524
[3,3.2[3.120.023810.6309520.119048
[3.2,3.4[3.310.0119050.6428570.059524
[3.4,3.6[3.510.0119050.6547620.059524
[3.6,3.8[3.720.023810.6785710.119048
[3.8,4[3.910.0119050.6904760.059524
[4,4.2[4.120.023810.7142860.119048
[4.2,4.4[4.320.023810.7380950.119048
[4.4,4.6[4.530.0357140.773810.178571
[4.6,4.8[4.720.023810.7976190.119048
[4.8,5[4.930.0357140.8333330.178571
[5,5.2[5.110.0119050.8452380.059524
[5.2,5.4]5.3130.15476210.773809



Parameters (Session):
par1 = 0 ;
Parameters (R input):
par1 = 22 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
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')