Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 03 Mar 2009 03:53:41 -0700
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/03/t1236077700qdb7nkd77prse2s.htm/, Retrieved Thu, 06 Oct 2022 23:22:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38468, Retrieved Thu, 06 Oct 2022 23:22:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [cheeseburgers] [2009-03-03 10:53:41] [e6a4511d9c87cbe7d6925124513541b0] [Current]
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Dataseries X:
1.92
1.93
1.93
1.92
1.91
1.91
1.9
1.9
1.89
1.88
1.86
1.85
1.85
1.84
1.84
1.84
1.84
1.84
1.84
1.84
1.83
1.83
1.83
1.82
1.81
1.81
1.81
1.8
1.8
1.8
1.79
1.79
1.79
1.79
1.79
1.78
1.77
1.77
1.77
1.77
1.75
1.75
1.75
1.74
1.75
1.74
1.75
1.74
1.74
1.74
1.73
1.73
1.72
1.71
1.71
1.71
1.71
1.7
1.7
1.7
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.68
1.68
1.68
1.68
1.68
1.67
1.67
1.67
1.67
1.67
1.66
1.66
1.65
1.65
1.65
1.65
1.65
1.64
1.64
1.64
1.64
1.64
1.64
1.64
1.64
1.64




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38468&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38468&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38468&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' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.64,1.65[1.64590.093750.093759.375
[1.65,1.66[1.65550.0520830.1458335.208333
[1.66,1.67[1.66520.0208330.1666672.083333
[1.67,1.68[1.67550.0520830.218755.208333
[1.68,1.69[1.68550.0520830.2708335.208333
[1.69,1.7[1.695100.1041670.37510.416667
[1.7,1.71[1.70530.031250.406253.125
[1.71,1.72[1.71540.0416670.4479174.166667
[1.72,1.73[1.72510.0104170.4583331.041667
[1.73,1.74[1.73520.0208330.4791672.083333
[1.74,1.75[1.74550.0520830.531255.208333
[1.75,1.76[1.75550.0520830.5833335.208333
[1.76,1.77[1.765000.5833330
[1.77,1.78[1.77540.0416670.6254.166667
[1.78,1.79[1.78510.0104170.6354171.041667
[1.79,1.8[1.79550.0520830.68755.208333
[1.8,1.81[1.80530.031250.718753.125
[1.81,1.82[1.81530.031250.753.125
[1.82,1.83[1.82510.0104170.7604171.041667
[1.83,1.84[1.83530.031250.7916673.125
[1.84,1.85[1.84570.0729170.8645837.291667
[1.85,1.86[1.85520.0208330.8854172.083333
[1.86,1.87[1.86510.0104170.8958331.041667
[1.87,1.88[1.875000.8958330
[1.88,1.89[1.88510.0104170.906251.041667
[1.89,1.9[1.89510.0104170.9166671.041667
[1.9,1.91[1.90520.0208330.93752.083333
[1.91,1.92[1.91520.0208330.9583332.083333
[1.92,1.93]1.92540.04166714.166666

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.64,1.65[ & 1.645 & 9 & 0.09375 & 0.09375 & 9.375 \tabularnewline
[1.65,1.66[ & 1.655 & 5 & 0.052083 & 0.145833 & 5.208333 \tabularnewline
[1.66,1.67[ & 1.665 & 2 & 0.020833 & 0.166667 & 2.083333 \tabularnewline
[1.67,1.68[ & 1.675 & 5 & 0.052083 & 0.21875 & 5.208333 \tabularnewline
[1.68,1.69[ & 1.685 & 5 & 0.052083 & 0.270833 & 5.208333 \tabularnewline
[1.69,1.7[ & 1.695 & 10 & 0.104167 & 0.375 & 10.416667 \tabularnewline
[1.7,1.71[ & 1.705 & 3 & 0.03125 & 0.40625 & 3.125 \tabularnewline
[1.71,1.72[ & 1.715 & 4 & 0.041667 & 0.447917 & 4.166667 \tabularnewline
[1.72,1.73[ & 1.725 & 1 & 0.010417 & 0.458333 & 1.041667 \tabularnewline
[1.73,1.74[ & 1.735 & 2 & 0.020833 & 0.479167 & 2.083333 \tabularnewline
[1.74,1.75[ & 1.745 & 5 & 0.052083 & 0.53125 & 5.208333 \tabularnewline
[1.75,1.76[ & 1.755 & 5 & 0.052083 & 0.583333 & 5.208333 \tabularnewline
[1.76,1.77[ & 1.765 & 0 & 0 & 0.583333 & 0 \tabularnewline
[1.77,1.78[ & 1.775 & 4 & 0.041667 & 0.625 & 4.166667 \tabularnewline
[1.78,1.79[ & 1.785 & 1 & 0.010417 & 0.635417 & 1.041667 \tabularnewline
[1.79,1.8[ & 1.795 & 5 & 0.052083 & 0.6875 & 5.208333 \tabularnewline
[1.8,1.81[ & 1.805 & 3 & 0.03125 & 0.71875 & 3.125 \tabularnewline
[1.81,1.82[ & 1.815 & 3 & 0.03125 & 0.75 & 3.125 \tabularnewline
[1.82,1.83[ & 1.825 & 1 & 0.010417 & 0.760417 & 1.041667 \tabularnewline
[1.83,1.84[ & 1.835 & 3 & 0.03125 & 0.791667 & 3.125 \tabularnewline
[1.84,1.85[ & 1.845 & 7 & 0.072917 & 0.864583 & 7.291667 \tabularnewline
[1.85,1.86[ & 1.855 & 2 & 0.020833 & 0.885417 & 2.083333 \tabularnewline
[1.86,1.87[ & 1.865 & 1 & 0.010417 & 0.895833 & 1.041667 \tabularnewline
[1.87,1.88[ & 1.875 & 0 & 0 & 0.895833 & 0 \tabularnewline
[1.88,1.89[ & 1.885 & 1 & 0.010417 & 0.90625 & 1.041667 \tabularnewline
[1.89,1.9[ & 1.895 & 1 & 0.010417 & 0.916667 & 1.041667 \tabularnewline
[1.9,1.91[ & 1.905 & 2 & 0.020833 & 0.9375 & 2.083333 \tabularnewline
[1.91,1.92[ & 1.915 & 2 & 0.020833 & 0.958333 & 2.083333 \tabularnewline
[1.92,1.93] & 1.925 & 4 & 0.041667 & 1 & 4.166666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38468&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][1.64,1.65[[/C][C]1.645[/C][C]9[/C][C]0.09375[/C][C]0.09375[/C][C]9.375[/C][/ROW]
[ROW][C][1.65,1.66[[/C][C]1.655[/C][C]5[/C][C]0.052083[/C][C]0.145833[/C][C]5.208333[/C][/ROW]
[ROW][C][1.66,1.67[[/C][C]1.665[/C][C]2[/C][C]0.020833[/C][C]0.166667[/C][C]2.083333[/C][/ROW]
[ROW][C][1.67,1.68[[/C][C]1.675[/C][C]5[/C][C]0.052083[/C][C]0.21875[/C][C]5.208333[/C][/ROW]
[ROW][C][1.68,1.69[[/C][C]1.685[/C][C]5[/C][C]0.052083[/C][C]0.270833[/C][C]5.208333[/C][/ROW]
[ROW][C][1.69,1.7[[/C][C]1.695[/C][C]10[/C][C]0.104167[/C][C]0.375[/C][C]10.416667[/C][/ROW]
[ROW][C][1.7,1.71[[/C][C]1.705[/C][C]3[/C][C]0.03125[/C][C]0.40625[/C][C]3.125[/C][/ROW]
[ROW][C][1.71,1.72[[/C][C]1.715[/C][C]4[/C][C]0.041667[/C][C]0.447917[/C][C]4.166667[/C][/ROW]
[ROW][C][1.72,1.73[[/C][C]1.725[/C][C]1[/C][C]0.010417[/C][C]0.458333[/C][C]1.041667[/C][/ROW]
[ROW][C][1.73,1.74[[/C][C]1.735[/C][C]2[/C][C]0.020833[/C][C]0.479167[/C][C]2.083333[/C][/ROW]
[ROW][C][1.74,1.75[[/C][C]1.745[/C][C]5[/C][C]0.052083[/C][C]0.53125[/C][C]5.208333[/C][/ROW]
[ROW][C][1.75,1.76[[/C][C]1.755[/C][C]5[/C][C]0.052083[/C][C]0.583333[/C][C]5.208333[/C][/ROW]
[ROW][C][1.76,1.77[[/C][C]1.765[/C][C]0[/C][C]0[/C][C]0.583333[/C][C]0[/C][/ROW]
[ROW][C][1.77,1.78[[/C][C]1.775[/C][C]4[/C][C]0.041667[/C][C]0.625[/C][C]4.166667[/C][/ROW]
[ROW][C][1.78,1.79[[/C][C]1.785[/C][C]1[/C][C]0.010417[/C][C]0.635417[/C][C]1.041667[/C][/ROW]
[ROW][C][1.79,1.8[[/C][C]1.795[/C][C]5[/C][C]0.052083[/C][C]0.6875[/C][C]5.208333[/C][/ROW]
[ROW][C][1.8,1.81[[/C][C]1.805[/C][C]3[/C][C]0.03125[/C][C]0.71875[/C][C]3.125[/C][/ROW]
[ROW][C][1.81,1.82[[/C][C]1.815[/C][C]3[/C][C]0.03125[/C][C]0.75[/C][C]3.125[/C][/ROW]
[ROW][C][1.82,1.83[[/C][C]1.825[/C][C]1[/C][C]0.010417[/C][C]0.760417[/C][C]1.041667[/C][/ROW]
[ROW][C][1.83,1.84[[/C][C]1.835[/C][C]3[/C][C]0.03125[/C][C]0.791667[/C][C]3.125[/C][/ROW]
[ROW][C][1.84,1.85[[/C][C]1.845[/C][C]7[/C][C]0.072917[/C][C]0.864583[/C][C]7.291667[/C][/ROW]
[ROW][C][1.85,1.86[[/C][C]1.855[/C][C]2[/C][C]0.020833[/C][C]0.885417[/C][C]2.083333[/C][/ROW]
[ROW][C][1.86,1.87[[/C][C]1.865[/C][C]1[/C][C]0.010417[/C][C]0.895833[/C][C]1.041667[/C][/ROW]
[ROW][C][1.87,1.88[[/C][C]1.875[/C][C]0[/C][C]0[/C][C]0.895833[/C][C]0[/C][/ROW]
[ROW][C][1.88,1.89[[/C][C]1.885[/C][C]1[/C][C]0.010417[/C][C]0.90625[/C][C]1.041667[/C][/ROW]
[ROW][C][1.89,1.9[[/C][C]1.895[/C][C]1[/C][C]0.010417[/C][C]0.916667[/C][C]1.041667[/C][/ROW]
[ROW][C][1.9,1.91[[/C][C]1.905[/C][C]2[/C][C]0.020833[/C][C]0.9375[/C][C]2.083333[/C][/ROW]
[ROW][C][1.91,1.92[[/C][C]1.915[/C][C]2[/C][C]0.020833[/C][C]0.958333[/C][C]2.083333[/C][/ROW]
[ROW][C][1.92,1.93][/C][C]1.925[/C][C]4[/C][C]0.041667[/C][C]1[/C][C]4.166666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38468&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38468&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
[1.64,1.65[1.64590.093750.093759.375
[1.65,1.66[1.65550.0520830.1458335.208333
[1.66,1.67[1.66520.0208330.1666672.083333
[1.67,1.68[1.67550.0520830.218755.208333
[1.68,1.69[1.68550.0520830.2708335.208333
[1.69,1.7[1.695100.1041670.37510.416667
[1.7,1.71[1.70530.031250.406253.125
[1.71,1.72[1.71540.0416670.4479174.166667
[1.72,1.73[1.72510.0104170.4583331.041667
[1.73,1.74[1.73520.0208330.4791672.083333
[1.74,1.75[1.74550.0520830.531255.208333
[1.75,1.76[1.75550.0520830.5833335.208333
[1.76,1.77[1.765000.5833330
[1.77,1.78[1.77540.0416670.6254.166667
[1.78,1.79[1.78510.0104170.6354171.041667
[1.79,1.8[1.79550.0520830.68755.208333
[1.8,1.81[1.80530.031250.718753.125
[1.81,1.82[1.81530.031250.753.125
[1.82,1.83[1.82510.0104170.7604171.041667
[1.83,1.84[1.83530.031250.7916673.125
[1.84,1.85[1.84570.0729170.8645837.291667
[1.85,1.86[1.85520.0208330.8854172.083333
[1.86,1.87[1.86510.0104170.8958331.041667
[1.87,1.88[1.875000.8958330
[1.88,1.89[1.88510.0104170.906251.041667
[1.89,1.9[1.89510.0104170.9166671.041667
[1.9,1.91[1.90520.0208330.93752.083333
[1.91,1.92[1.91520.0208330.9583332.083333
[1.92,1.93]1.92540.04166714.166666



Parameters (Session):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 24 ; 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')