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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 28 Sep 2012 09:21:27 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Sep/28/t1348838629g4w8tzpbovkxtny.htm/, Retrieved Sat, 04 May 2024 12:19:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170327, Retrieved Sat, 04 May 2024 12:19:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2012-09-23 16:40:30] [6b2541656da62508fd6d15a319594d56]
- RMPD    [Histogram] [] [2012-09-28 13:21:27] [db26a86bf4adac007852ad52c5e0cac3] [Current]
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Dataseries X:
3.65
3.66
3.69
3.7
3.7
3.71
3.71
3.71
3.72
3.72
3.73
3.74
3.78
3.78
3.79
3.79
3.8
3.81
3.83
3.84
3.88
3.91
3.96
3.96
3.97
3.98
3.99
3.99
4
4
4.02
4.02
4.02
4.03
4.03
4.03
4.04
4.04
4.05
4.05
4.05
4.05
4.06
4.06
4.06
4.06
4.07
4.07
4.08
4.08
4.08
4.09
4.09
4.09
4.09
4.1
4.1
4.11
4.11
4.12
4.12
4.12
4.12
4.12
4.15
4.15
4.15
4.15
4.16
4.16
4.16
4.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170327&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170327&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170327&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'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3.64,3.66[3.6510.0138890.0138890.694444
[3.66,3.68[3.6710.0138890.0277780.694444
[3.68,3.7[3.6910.0138890.0416670.694444
[3.7,3.72[3.7150.0694440.1111113.472222
[3.72,3.74[3.7330.0416670.1527782.083333
[3.74,3.76[3.7510.0138890.1666670.694444
[3.76,3.78[3.77000.1666670
[3.78,3.8[3.7940.0555560.2222222.777778
[3.8,3.82[3.8120.0277780.251.388889
[3.82,3.84[3.8310.0138890.2638890.694444
[3.84,3.86[3.8510.0138890.2777780.694444
[3.86,3.88[3.87000.2777780
[3.88,3.9[3.8910.0138890.2916670.694444
[3.9,3.92[3.9110.0138890.3055560.694444
[3.92,3.94[3.93000.3055560
[3.94,3.96[3.95000.3055560
[3.96,3.98[3.9730.0416670.3472222.083333
[3.98,4[3.9930.0416670.3888892.083333
[4,4.02[4.0120.0277780.4166671.388889
[4.02,4.04[4.0360.0833330.54.166667
[4.04,4.06[4.0560.0833330.5833334.166667
[4.06,4.08[4.0760.0833330.6666674.166667
[4.08,4.1[4.0970.0972220.7638894.861111
[4.1,4.12[4.1140.0555560.8194442.777778
[4.12,4.14[4.1350.0694440.8888893.472222
[4.14,4.16[4.1540.0555560.9444442.777778
[4.16,4.18[4.1730.0416670.9861112.083333
[4.18,4.2]4.1910.01388910.694444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3.64,3.66[ & 3.65 & 1 & 0.013889 & 0.013889 & 0.694444 \tabularnewline
[3.66,3.68[ & 3.67 & 1 & 0.013889 & 0.027778 & 0.694444 \tabularnewline
[3.68,3.7[ & 3.69 & 1 & 0.013889 & 0.041667 & 0.694444 \tabularnewline
[3.7,3.72[ & 3.71 & 5 & 0.069444 & 0.111111 & 3.472222 \tabularnewline
[3.72,3.74[ & 3.73 & 3 & 0.041667 & 0.152778 & 2.083333 \tabularnewline
[3.74,3.76[ & 3.75 & 1 & 0.013889 & 0.166667 & 0.694444 \tabularnewline
[3.76,3.78[ & 3.77 & 0 & 0 & 0.166667 & 0 \tabularnewline
[3.78,3.8[ & 3.79 & 4 & 0.055556 & 0.222222 & 2.777778 \tabularnewline
[3.8,3.82[ & 3.81 & 2 & 0.027778 & 0.25 & 1.388889 \tabularnewline
[3.82,3.84[ & 3.83 & 1 & 0.013889 & 0.263889 & 0.694444 \tabularnewline
[3.84,3.86[ & 3.85 & 1 & 0.013889 & 0.277778 & 0.694444 \tabularnewline
[3.86,3.88[ & 3.87 & 0 & 0 & 0.277778 & 0 \tabularnewline
[3.88,3.9[ & 3.89 & 1 & 0.013889 & 0.291667 & 0.694444 \tabularnewline
[3.9,3.92[ & 3.91 & 1 & 0.013889 & 0.305556 & 0.694444 \tabularnewline
[3.92,3.94[ & 3.93 & 0 & 0 & 0.305556 & 0 \tabularnewline
[3.94,3.96[ & 3.95 & 0 & 0 & 0.305556 & 0 \tabularnewline
[3.96,3.98[ & 3.97 & 3 & 0.041667 & 0.347222 & 2.083333 \tabularnewline
[3.98,4[ & 3.99 & 3 & 0.041667 & 0.388889 & 2.083333 \tabularnewline
[4,4.02[ & 4.01 & 2 & 0.027778 & 0.416667 & 1.388889 \tabularnewline
[4.02,4.04[ & 4.03 & 6 & 0.083333 & 0.5 & 4.166667 \tabularnewline
[4.04,4.06[ & 4.05 & 6 & 0.083333 & 0.583333 & 4.166667 \tabularnewline
[4.06,4.08[ & 4.07 & 6 & 0.083333 & 0.666667 & 4.166667 \tabularnewline
[4.08,4.1[ & 4.09 & 7 & 0.097222 & 0.763889 & 4.861111 \tabularnewline
[4.1,4.12[ & 4.11 & 4 & 0.055556 & 0.819444 & 2.777778 \tabularnewline
[4.12,4.14[ & 4.13 & 5 & 0.069444 & 0.888889 & 3.472222 \tabularnewline
[4.14,4.16[ & 4.15 & 4 & 0.055556 & 0.944444 & 2.777778 \tabularnewline
[4.16,4.18[ & 4.17 & 3 & 0.041667 & 0.986111 & 2.083333 \tabularnewline
[4.18,4.2] & 4.19 & 1 & 0.013889 & 1 & 0.694444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170327&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][3.64,3.66[[/C][C]3.65[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.694444[/C][/ROW]
[ROW][C][3.66,3.68[[/C][C]3.67[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.694444[/C][/ROW]
[ROW][C][3.68,3.7[[/C][C]3.69[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]0.694444[/C][/ROW]
[ROW][C][3.7,3.72[[/C][C]3.71[/C][C]5[/C][C]0.069444[/C][C]0.111111[/C][C]3.472222[/C][/ROW]
[ROW][C][3.72,3.74[[/C][C]3.73[/C][C]3[/C][C]0.041667[/C][C]0.152778[/C][C]2.083333[/C][/ROW]
[ROW][C][3.74,3.76[[/C][C]3.75[/C][C]1[/C][C]0.013889[/C][C]0.166667[/C][C]0.694444[/C][/ROW]
[ROW][C][3.76,3.78[[/C][C]3.77[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][3.78,3.8[[/C][C]3.79[/C][C]4[/C][C]0.055556[/C][C]0.222222[/C][C]2.777778[/C][/ROW]
[ROW][C][3.8,3.82[[/C][C]3.81[/C][C]2[/C][C]0.027778[/C][C]0.25[/C][C]1.388889[/C][/ROW]
[ROW][C][3.82,3.84[[/C][C]3.83[/C][C]1[/C][C]0.013889[/C][C]0.263889[/C][C]0.694444[/C][/ROW]
[ROW][C][3.84,3.86[[/C][C]3.85[/C][C]1[/C][C]0.013889[/C][C]0.277778[/C][C]0.694444[/C][/ROW]
[ROW][C][3.86,3.88[[/C][C]3.87[/C][C]0[/C][C]0[/C][C]0.277778[/C][C]0[/C][/ROW]
[ROW][C][3.88,3.9[[/C][C]3.89[/C][C]1[/C][C]0.013889[/C][C]0.291667[/C][C]0.694444[/C][/ROW]
[ROW][C][3.9,3.92[[/C][C]3.91[/C][C]1[/C][C]0.013889[/C][C]0.305556[/C][C]0.694444[/C][/ROW]
[ROW][C][3.92,3.94[[/C][C]3.93[/C][C]0[/C][C]0[/C][C]0.305556[/C][C]0[/C][/ROW]
[ROW][C][3.94,3.96[[/C][C]3.95[/C][C]0[/C][C]0[/C][C]0.305556[/C][C]0[/C][/ROW]
[ROW][C][3.96,3.98[[/C][C]3.97[/C][C]3[/C][C]0.041667[/C][C]0.347222[/C][C]2.083333[/C][/ROW]
[ROW][C][3.98,4[[/C][C]3.99[/C][C]3[/C][C]0.041667[/C][C]0.388889[/C][C]2.083333[/C][/ROW]
[ROW][C][4,4.02[[/C][C]4.01[/C][C]2[/C][C]0.027778[/C][C]0.416667[/C][C]1.388889[/C][/ROW]
[ROW][C][4.02,4.04[[/C][C]4.03[/C][C]6[/C][C]0.083333[/C][C]0.5[/C][C]4.166667[/C][/ROW]
[ROW][C][4.04,4.06[[/C][C]4.05[/C][C]6[/C][C]0.083333[/C][C]0.583333[/C][C]4.166667[/C][/ROW]
[ROW][C][4.06,4.08[[/C][C]4.07[/C][C]6[/C][C]0.083333[/C][C]0.666667[/C][C]4.166667[/C][/ROW]
[ROW][C][4.08,4.1[[/C][C]4.09[/C][C]7[/C][C]0.097222[/C][C]0.763889[/C][C]4.861111[/C][/ROW]
[ROW][C][4.1,4.12[[/C][C]4.11[/C][C]4[/C][C]0.055556[/C][C]0.819444[/C][C]2.777778[/C][/ROW]
[ROW][C][4.12,4.14[[/C][C]4.13[/C][C]5[/C][C]0.069444[/C][C]0.888889[/C][C]3.472222[/C][/ROW]
[ROW][C][4.14,4.16[[/C][C]4.15[/C][C]4[/C][C]0.055556[/C][C]0.944444[/C][C]2.777778[/C][/ROW]
[ROW][C][4.16,4.18[[/C][C]4.17[/C][C]3[/C][C]0.041667[/C][C]0.986111[/C][C]2.083333[/C][/ROW]
[ROW][C][4.18,4.2][/C][C]4.19[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.694444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170327&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170327&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
[3.64,3.66[3.6510.0138890.0138890.694444
[3.66,3.68[3.6710.0138890.0277780.694444
[3.68,3.7[3.6910.0138890.0416670.694444
[3.7,3.72[3.7150.0694440.1111113.472222
[3.72,3.74[3.7330.0416670.1527782.083333
[3.74,3.76[3.7510.0138890.1666670.694444
[3.76,3.78[3.77000.1666670
[3.78,3.8[3.7940.0555560.2222222.777778
[3.8,3.82[3.8120.0277780.251.388889
[3.82,3.84[3.8310.0138890.2638890.694444
[3.84,3.86[3.8510.0138890.2777780.694444
[3.86,3.88[3.87000.2777780
[3.88,3.9[3.8910.0138890.2916670.694444
[3.9,3.92[3.9110.0138890.3055560.694444
[3.92,3.94[3.93000.3055560
[3.94,3.96[3.95000.3055560
[3.96,3.98[3.9730.0416670.3472222.083333
[3.98,4[3.9930.0416670.3888892.083333
[4,4.02[4.0120.0277780.4166671.388889
[4.02,4.04[4.0360.0833330.54.166667
[4.04,4.06[4.0560.0833330.5833334.166667
[4.06,4.08[4.0760.0833330.6666674.166667
[4.08,4.1[4.0970.0972220.7638894.861111
[4.1,4.12[4.1140.0555560.8194442.777778
[4.12,4.14[4.1350.0694440.8888893.472222
[4.14,4.16[4.1540.0555560.9444442.777778
[4.16,4.18[4.1730.0416670.9861112.083333
[4.18,4.2]4.1910.01388910.694444



Parameters (Session):
par1 = 35 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 35 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '35'
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')
}