Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 17 Feb 2008 05:39:17 -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/2008/Feb/17/t1203252046amo44fdmpiw7nj6.htm/, Retrieved Fri, 10 May 2024 08:19:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8284, Retrieved Fri, 10 May 2024 08:19:29 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact230
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel p...] [2008-02-17 12:39:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1
1,04
1,09
1,08
1,06
1,06
1,03
0,97
0,98
0,93
0,88
0,86
0,9
0,91
0,93
0,89
0,88
0,83
0,81
0,83
0,8
0,76
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,71
0,71
0,7
0,75
0,81
0,78
0,75
0,74
0,74
0,78
0,74
0,72
0,72
0,72
0,75
0,75
0,73
0,71
0,72
0,73
0,74
0,76
0,78
0,76
0,78
0,79
0,78
0,77
0,76
0,77
0,76




Summary of compuational 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 compuational 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=8284&T=0

[TABLE]
[ROW][C]Summary of compuational 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=8284&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8284&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 compuational 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
[0.7,0.75[0.725200.3333330.3333336.666667
[0.75,0.8[0.775180.30.6333336
[0.8,0.85[0.82550.0833330.7166671.666667
[0.85,0.9[0.87540.0666670.7833331.333333
[0.9,0.95[0.92540.0666670.851.333333
[0.95,1[0.97520.0333330.8833330.666667
[1,1.05[1.02530.050.9333331
[1.05,1.1]1.07540.06666711.333333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.7,0.75[ & 0.725 & 20 & 0.333333 & 0.333333 & 6.666667 \tabularnewline
[0.75,0.8[ & 0.775 & 18 & 0.3 & 0.633333 & 6 \tabularnewline
[0.8,0.85[ & 0.825 & 5 & 0.083333 & 0.716667 & 1.666667 \tabularnewline
[0.85,0.9[ & 0.875 & 4 & 0.066667 & 0.783333 & 1.333333 \tabularnewline
[0.9,0.95[ & 0.925 & 4 & 0.066667 & 0.85 & 1.333333 \tabularnewline
[0.95,1[ & 0.975 & 2 & 0.033333 & 0.883333 & 0.666667 \tabularnewline
[1,1.05[ & 1.025 & 3 & 0.05 & 0.933333 & 1 \tabularnewline
[1.05,1.1] & 1.075 & 4 & 0.066667 & 1 & 1.333333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8284&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][0.7,0.75[[/C][C]0.725[/C][C]20[/C][C]0.333333[/C][C]0.333333[/C][C]6.666667[/C][/ROW]
[ROW][C][0.75,0.8[[/C][C]0.775[/C][C]18[/C][C]0.3[/C][C]0.633333[/C][C]6[/C][/ROW]
[ROW][C][0.8,0.85[[/C][C]0.825[/C][C]5[/C][C]0.083333[/C][C]0.716667[/C][C]1.666667[/C][/ROW]
[ROW][C][0.85,0.9[[/C][C]0.875[/C][C]4[/C][C]0.066667[/C][C]0.783333[/C][C]1.333333[/C][/ROW]
[ROW][C][0.9,0.95[[/C][C]0.925[/C][C]4[/C][C]0.066667[/C][C]0.85[/C][C]1.333333[/C][/ROW]
[ROW][C][0.95,1[[/C][C]0.975[/C][C]2[/C][C]0.033333[/C][C]0.883333[/C][C]0.666667[/C][/ROW]
[ROW][C][1,1.05[[/C][C]1.025[/C][C]3[/C][C]0.05[/C][C]0.933333[/C][C]1[/C][/ROW]
[ROW][C][1.05,1.1][/C][C]1.075[/C][C]4[/C][C]0.066667[/C][C]1[/C][C]1.333333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8284&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8284&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
[0.7,0.75[0.725200.3333330.3333336.666667
[0.75,0.8[0.775180.30.6333336
[0.8,0.85[0.82550.0833330.7166671.666667
[0.85,0.9[0.87540.0666670.7833331.333333
[0.9,0.95[0.92540.0666670.851.333333
[0.95,1[0.97520.0333330.8833330.666667
[1,1.05[1.02530.050.9333331
[1.05,1.1]1.07540.06666711.333333



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