Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 28 Dec 2013 09:21:43 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/28/t1388240531uez8vnay2hr8tng.htm/, Retrieved Fri, 29 Mar 2024 07:27:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232646, Retrieved Fri, 29 Mar 2024 07:27:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-18 09:35:25] [a8e8414c4f833e32d59be43c786aea44]
- R PD  [Univariate Data Series] [Gemiddelde consum...] [2013-09-26 10:46:20] [a8e8414c4f833e32d59be43c786aea44]
- RMP       [Histogram] [] [2013-12-28 14:21:43] [1525edb51b991c94cab3456ee491e95f] [Current]
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Dataseries X:
1.58
1.59
1.55
1.52
1.51
1.5
1.56
1.59
1.59
1.59
1.6
1.57
1.55
1.54
1.58
1.57
1.56
1.62
1.59
1.61
1.63
1.74
1.77
1.82
1.78
1.75
1.76
1.72
1.78
1.82
1.91
1.82
1.91
1.81
1.59
1.48
1.47
1.56
1.5
1.47
1.49
1.57
1.57
1.63
1.67
1.61
1.66
1.66
1.72
1.73
1.75
1.74
1.75
1.75
1.71
1.7
1.77
1.81
1.91
1.98
1.96
1.89
1.98
2.02
2.01
1.91
1.94
1.93
1.98
2.01
1.97
1.96
2.11
2.13
2.17
2.17
2.05
1.84
1.87
2.03
2.17
2.17
2.2
2.13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232646&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]2 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=232646&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232646&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.4,1.5[1.4540.0476190.0476190.47619
[1.5,1.6[1.55220.2619050.3095242.619048
[1.6,1.7[1.6590.1071430.4166671.071429
[1.7,1.8[1.75160.1904760.6071431.904762
[1.8,1.9[1.8580.0952380.7023810.952381
[1.9,2[1.95120.1428570.8452381.428571
[2,2.1[2.0550.0595240.9047620.595238
[2.1,2.2]2.1580.09523810.952381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.4,1.5[ & 1.45 & 4 & 0.047619 & 0.047619 & 0.47619 \tabularnewline
[1.5,1.6[ & 1.55 & 22 & 0.261905 & 0.309524 & 2.619048 \tabularnewline
[1.6,1.7[ & 1.65 & 9 & 0.107143 & 0.416667 & 1.071429 \tabularnewline
[1.7,1.8[ & 1.75 & 16 & 0.190476 & 0.607143 & 1.904762 \tabularnewline
[1.8,1.9[ & 1.85 & 8 & 0.095238 & 0.702381 & 0.952381 \tabularnewline
[1.9,2[ & 1.95 & 12 & 0.142857 & 0.845238 & 1.428571 \tabularnewline
[2,2.1[ & 2.05 & 5 & 0.059524 & 0.904762 & 0.595238 \tabularnewline
[2.1,2.2] & 2.15 & 8 & 0.095238 & 1 & 0.952381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232646&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][1.4,1.5[[/C][C]1.45[/C][C]4[/C][C]0.047619[/C][C]0.047619[/C][C]0.47619[/C][/ROW]
[ROW][C][1.5,1.6[[/C][C]1.55[/C][C]22[/C][C]0.261905[/C][C]0.309524[/C][C]2.619048[/C][/ROW]
[ROW][C][1.6,1.7[[/C][C]1.65[/C][C]9[/C][C]0.107143[/C][C]0.416667[/C][C]1.071429[/C][/ROW]
[ROW][C][1.7,1.8[[/C][C]1.75[/C][C]16[/C][C]0.190476[/C][C]0.607143[/C][C]1.904762[/C][/ROW]
[ROW][C][1.8,1.9[[/C][C]1.85[/C][C]8[/C][C]0.095238[/C][C]0.702381[/C][C]0.952381[/C][/ROW]
[ROW][C][1.9,2[[/C][C]1.95[/C][C]12[/C][C]0.142857[/C][C]0.845238[/C][C]1.428571[/C][/ROW]
[ROW][C][2,2.1[[/C][C]2.05[/C][C]5[/C][C]0.059524[/C][C]0.904762[/C][C]0.595238[/C][/ROW]
[ROW][C][2.1,2.2][/C][C]2.15[/C][C]8[/C][C]0.095238[/C][C]1[/C][C]0.952381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232646&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232646&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
[1.4,1.5[1.4540.0476190.0476190.47619
[1.5,1.6[1.55220.2619050.3095242.619048
[1.6,1.7[1.6590.1071430.4166671.071429
[1.7,1.8[1.75160.1904760.6071431.904762
[1.8,1.9[1.8580.0952380.7023810.952381
[1.9,2[1.95120.1428570.8452381.428571
[2,2.1[2.0550.0595240.9047620.595238
[2.1,2.2]2.1580.09523810.952381



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