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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 07 Oct 2012 13:05:59 -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/Oct/07/t13496295935uedmm65ye5e8b8.htm/, Retrieved Sat, 04 May 2024 13:15:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173038, Retrieved Sat, 04 May 2024 13:15:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2012-09-20 13:23:07] [018035fb0d4285098cb1e31787361d70]
- RMPD    [Histogram] [] [2012-10-07 17:05:59] [a14baeeafb42bd31c8e1f231a0a4996d] [Current]
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Dataseries X:
6.11
6.13
6.15
6.15
6.16
6.18
6.21
6.22
6.23
6.26
6.28
6.28
6.29
6.32
6.36
6.37
6.38
6.38
6.4
6.41
6.42
6.43
6.44
6.47
6.47
6.48
6.51
6.54
6.56
6.57
6.6
6.62
6.65
6.71
6.76
6.78
6.8
6.83
6.86
6.86
6.87
6.88
6.9
6.92
6.93
6.94
6.96
6.98
6.99
7.01
7.06
7.07
7.08
7.08
7.1
7.11
7.22
7.24
7.25
7.26
7.27
7.3
7.32
7.34
7.35
7.36
7.39
7.41
7.43
7.46
7.47
7.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173038&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173038&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173038&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6.1,6.15[6.12520.0277780.0277780.555556
[6.15,6.2[6.17540.0555560.0833331.111111
[6.2,6.25[6.22530.0416670.1250.833333
[6.25,6.3[6.27540.0555560.1805561.111111
[6.3,6.35[6.32510.0138890.1944440.277778
[6.35,6.4[6.37540.0555560.251.111111
[6.4,6.45[6.42550.0694440.3194441.388889
[6.45,6.5[6.47530.0416670.3611110.833333
[6.5,6.55[6.52520.0277780.3888890.555556
[6.55,6.6[6.57520.0277780.4166670.555556
[6.6,6.65[6.62520.0277780.4444440.555556
[6.65,6.7[6.67510.0138890.4583330.277778
[6.7,6.75[6.72510.0138890.4722220.277778
[6.75,6.8[6.77520.0277780.50.555556
[6.8,6.85[6.82520.0277780.5277780.555556
[6.85,6.9[6.87540.0555560.5833331.111111
[6.9,6.95[6.92540.0555560.6388891.111111
[6.95,7[6.97530.0416670.6805560.833333
[7,7.05[7.02510.0138890.6944440.277778
[7.05,7.1[7.07540.0555560.751.111111
[7.1,7.15[7.12520.0277780.7777780.555556
[7.15,7.2[7.175000.7777780
[7.2,7.25[7.22520.0277780.8055560.555556
[7.25,7.3[7.27530.0416670.8472220.833333
[7.3,7.35[7.32530.0416670.8888890.833333
[7.35,7.4[7.37530.0416670.9305560.833333
[7.4,7.45[7.42520.0277780.9583330.555556
[7.45,7.5]7.47530.04166710.833333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6.1,6.15[ & 6.125 & 2 & 0.027778 & 0.027778 & 0.555556 \tabularnewline
[6.15,6.2[ & 6.175 & 4 & 0.055556 & 0.083333 & 1.111111 \tabularnewline
[6.2,6.25[ & 6.225 & 3 & 0.041667 & 0.125 & 0.833333 \tabularnewline
[6.25,6.3[ & 6.275 & 4 & 0.055556 & 0.180556 & 1.111111 \tabularnewline
[6.3,6.35[ & 6.325 & 1 & 0.013889 & 0.194444 & 0.277778 \tabularnewline
[6.35,6.4[ & 6.375 & 4 & 0.055556 & 0.25 & 1.111111 \tabularnewline
[6.4,6.45[ & 6.425 & 5 & 0.069444 & 0.319444 & 1.388889 \tabularnewline
[6.45,6.5[ & 6.475 & 3 & 0.041667 & 0.361111 & 0.833333 \tabularnewline
[6.5,6.55[ & 6.525 & 2 & 0.027778 & 0.388889 & 0.555556 \tabularnewline
[6.55,6.6[ & 6.575 & 2 & 0.027778 & 0.416667 & 0.555556 \tabularnewline
[6.6,6.65[ & 6.625 & 2 & 0.027778 & 0.444444 & 0.555556 \tabularnewline
[6.65,6.7[ & 6.675 & 1 & 0.013889 & 0.458333 & 0.277778 \tabularnewline
[6.7,6.75[ & 6.725 & 1 & 0.013889 & 0.472222 & 0.277778 \tabularnewline
[6.75,6.8[ & 6.775 & 2 & 0.027778 & 0.5 & 0.555556 \tabularnewline
[6.8,6.85[ & 6.825 & 2 & 0.027778 & 0.527778 & 0.555556 \tabularnewline
[6.85,6.9[ & 6.875 & 4 & 0.055556 & 0.583333 & 1.111111 \tabularnewline
[6.9,6.95[ & 6.925 & 4 & 0.055556 & 0.638889 & 1.111111 \tabularnewline
[6.95,7[ & 6.975 & 3 & 0.041667 & 0.680556 & 0.833333 \tabularnewline
[7,7.05[ & 7.025 & 1 & 0.013889 & 0.694444 & 0.277778 \tabularnewline
[7.05,7.1[ & 7.075 & 4 & 0.055556 & 0.75 & 1.111111 \tabularnewline
[7.1,7.15[ & 7.125 & 2 & 0.027778 & 0.777778 & 0.555556 \tabularnewline
[7.15,7.2[ & 7.175 & 0 & 0 & 0.777778 & 0 \tabularnewline
[7.2,7.25[ & 7.225 & 2 & 0.027778 & 0.805556 & 0.555556 \tabularnewline
[7.25,7.3[ & 7.275 & 3 & 0.041667 & 0.847222 & 0.833333 \tabularnewline
[7.3,7.35[ & 7.325 & 3 & 0.041667 & 0.888889 & 0.833333 \tabularnewline
[7.35,7.4[ & 7.375 & 3 & 0.041667 & 0.930556 & 0.833333 \tabularnewline
[7.4,7.45[ & 7.425 & 2 & 0.027778 & 0.958333 & 0.555556 \tabularnewline
[7.45,7.5] & 7.475 & 3 & 0.041667 & 1 & 0.833333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173038&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][6.1,6.15[[/C][C]6.125[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.555556[/C][/ROW]
[ROW][C][6.15,6.2[[/C][C]6.175[/C][C]4[/C][C]0.055556[/C][C]0.083333[/C][C]1.111111[/C][/ROW]
[ROW][C][6.2,6.25[[/C][C]6.225[/C][C]3[/C][C]0.041667[/C][C]0.125[/C][C]0.833333[/C][/ROW]
[ROW][C][6.25,6.3[[/C][C]6.275[/C][C]4[/C][C]0.055556[/C][C]0.180556[/C][C]1.111111[/C][/ROW]
[ROW][C][6.3,6.35[[/C][C]6.325[/C][C]1[/C][C]0.013889[/C][C]0.194444[/C][C]0.277778[/C][/ROW]
[ROW][C][6.35,6.4[[/C][C]6.375[/C][C]4[/C][C]0.055556[/C][C]0.25[/C][C]1.111111[/C][/ROW]
[ROW][C][6.4,6.45[[/C][C]6.425[/C][C]5[/C][C]0.069444[/C][C]0.319444[/C][C]1.388889[/C][/ROW]
[ROW][C][6.45,6.5[[/C][C]6.475[/C][C]3[/C][C]0.041667[/C][C]0.361111[/C][C]0.833333[/C][/ROW]
[ROW][C][6.5,6.55[[/C][C]6.525[/C][C]2[/C][C]0.027778[/C][C]0.388889[/C][C]0.555556[/C][/ROW]
[ROW][C][6.55,6.6[[/C][C]6.575[/C][C]2[/C][C]0.027778[/C][C]0.416667[/C][C]0.555556[/C][/ROW]
[ROW][C][6.6,6.65[[/C][C]6.625[/C][C]2[/C][C]0.027778[/C][C]0.444444[/C][C]0.555556[/C][/ROW]
[ROW][C][6.65,6.7[[/C][C]6.675[/C][C]1[/C][C]0.013889[/C][C]0.458333[/C][C]0.277778[/C][/ROW]
[ROW][C][6.7,6.75[[/C][C]6.725[/C][C]1[/C][C]0.013889[/C][C]0.472222[/C][C]0.277778[/C][/ROW]
[ROW][C][6.75,6.8[[/C][C]6.775[/C][C]2[/C][C]0.027778[/C][C]0.5[/C][C]0.555556[/C][/ROW]
[ROW][C][6.8,6.85[[/C][C]6.825[/C][C]2[/C][C]0.027778[/C][C]0.527778[/C][C]0.555556[/C][/ROW]
[ROW][C][6.85,6.9[[/C][C]6.875[/C][C]4[/C][C]0.055556[/C][C]0.583333[/C][C]1.111111[/C][/ROW]
[ROW][C][6.9,6.95[[/C][C]6.925[/C][C]4[/C][C]0.055556[/C][C]0.638889[/C][C]1.111111[/C][/ROW]
[ROW][C][6.95,7[[/C][C]6.975[/C][C]3[/C][C]0.041667[/C][C]0.680556[/C][C]0.833333[/C][/ROW]
[ROW][C][7,7.05[[/C][C]7.025[/C][C]1[/C][C]0.013889[/C][C]0.694444[/C][C]0.277778[/C][/ROW]
[ROW][C][7.05,7.1[[/C][C]7.075[/C][C]4[/C][C]0.055556[/C][C]0.75[/C][C]1.111111[/C][/ROW]
[ROW][C][7.1,7.15[[/C][C]7.125[/C][C]2[/C][C]0.027778[/C][C]0.777778[/C][C]0.555556[/C][/ROW]
[ROW][C][7.15,7.2[[/C][C]7.175[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][7.2,7.25[[/C][C]7.225[/C][C]2[/C][C]0.027778[/C][C]0.805556[/C][C]0.555556[/C][/ROW]
[ROW][C][7.25,7.3[[/C][C]7.275[/C][C]3[/C][C]0.041667[/C][C]0.847222[/C][C]0.833333[/C][/ROW]
[ROW][C][7.3,7.35[[/C][C]7.325[/C][C]3[/C][C]0.041667[/C][C]0.888889[/C][C]0.833333[/C][/ROW]
[ROW][C][7.35,7.4[[/C][C]7.375[/C][C]3[/C][C]0.041667[/C][C]0.930556[/C][C]0.833333[/C][/ROW]
[ROW][C][7.4,7.45[[/C][C]7.425[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]0.555556[/C][/ROW]
[ROW][C][7.45,7.5][/C][C]7.475[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.833333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173038&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173038&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
[6.1,6.15[6.12520.0277780.0277780.555556
[6.15,6.2[6.17540.0555560.0833331.111111
[6.2,6.25[6.22530.0416670.1250.833333
[6.25,6.3[6.27540.0555560.1805561.111111
[6.3,6.35[6.32510.0138890.1944440.277778
[6.35,6.4[6.37540.0555560.251.111111
[6.4,6.45[6.42550.0694440.3194441.388889
[6.45,6.5[6.47530.0416670.3611110.833333
[6.5,6.55[6.52520.0277780.3888890.555556
[6.55,6.6[6.57520.0277780.4166670.555556
[6.6,6.65[6.62520.0277780.4444440.555556
[6.65,6.7[6.67510.0138890.4583330.277778
[6.7,6.75[6.72510.0138890.4722220.277778
[6.75,6.8[6.77520.0277780.50.555556
[6.8,6.85[6.82520.0277780.5277780.555556
[6.85,6.9[6.87540.0555560.5833331.111111
[6.9,6.95[6.92540.0555560.6388891.111111
[6.95,7[6.97530.0416670.6805560.833333
[7,7.05[7.02510.0138890.6944440.277778
[7.05,7.1[7.07540.0555560.751.111111
[7.1,7.15[7.12520.0277780.7777780.555556
[7.15,7.2[7.175000.7777780
[7.2,7.25[7.22520.0277780.8055560.555556
[7.25,7.3[7.27530.0416670.8472220.833333
[7.3,7.35[7.32530.0416670.8888890.833333
[7.35,7.4[7.37530.0416670.9305560.833333
[7.4,7.45[7.42520.0277780.9583330.555556
[7.45,7.5]7.47530.04166710.833333



Parameters (Session):
par1 = 31 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 31 ; 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.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')
}