Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 12 Dec 2014 10:10:58 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/12/t1418379068hzv0mxrjxu7kniy.htm/, Retrieved Thu, 31 Oct 2024 23:40:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266470, Retrieved Thu, 31 Oct 2024 23:40:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Stem-and-leaf Plot] [] [2013-10-01 09:27:37] [0307e7a6407eb638caabc417e3a6b260]
- RMP     [Histogram] [] [2014-12-12 10:10:58] [6b98cd673f8ceafd4bac153bb0cb23e9] [Current]
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Dataseries X:
1280
1024
1120
1024
1280
1280
1280
1024
1280
1280
1280
1280
1280
1688
1440
1600
1280
1280
1280
1176
1280
1503
1440
1366
1280
1024
1280
2560
1280
1024
1280
1280
1440
1280
1440
1024
1440
1143
1280
1440
1280
1366
1024
1408
1366
1176
1920
1257
1280
1280
1440
1680
1440
1024
1140
1280
1280
1280
1280
1280
1440
1280
1152
1280
1280
1440
1280
1280
1440
1280
1280
1440
1280
1280
1600
1024
1366
1280
1280
1440
1366
1280
1024
1280
1440
1280
1280
1408
1280
1600
1600
1680
1440
1440
917
1280
1760
1280
1280
1280
1024
1366
1440
1280
1280
1920
1024
1024
1600
1117
1440
983
1024
1024
1280
1440
1280
1280
1280
1440
1280
1024
1024
1152
1280
1024
1366
1680
1680
1280
1366
1024
1440
1024
1280
1280
1280
1024
1280




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=266470&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=266470&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266470&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
[800,1000[90020.0143880.0143887.2e-05
[1000,1200[1100290.2086330.2230220.001043
[1200,1400[1300700.5035970.7266190.002518
[1400,1600[1500240.1726620.8992810.000863
[1600,1800[1700110.0791370.9784170.000396
[1800,2000[190020.0143880.9928067.2e-05
[2000,2200[2100000.9928060
[2200,2400[2300000.9928060
[2400,2600]250010.00719413.6e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[800,1000[ & 900 & 2 & 0.014388 & 0.014388 & 7.2e-05 \tabularnewline
[1000,1200[ & 1100 & 29 & 0.208633 & 0.223022 & 0.001043 \tabularnewline
[1200,1400[ & 1300 & 70 & 0.503597 & 0.726619 & 0.002518 \tabularnewline
[1400,1600[ & 1500 & 24 & 0.172662 & 0.899281 & 0.000863 \tabularnewline
[1600,1800[ & 1700 & 11 & 0.079137 & 0.978417 & 0.000396 \tabularnewline
[1800,2000[ & 1900 & 2 & 0.014388 & 0.992806 & 7.2e-05 \tabularnewline
[2000,2200[ & 2100 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2200,2400[ & 2300 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2400,2600] & 2500 & 1 & 0.007194 & 1 & 3.6e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266470&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][800,1000[[/C][C]900[/C][C]2[/C][C]0.014388[/C][C]0.014388[/C][C]7.2e-05[/C][/ROW]
[ROW][C][1000,1200[[/C][C]1100[/C][C]29[/C][C]0.208633[/C][C]0.223022[/C][C]0.001043[/C][/ROW]
[ROW][C][1200,1400[[/C][C]1300[/C][C]70[/C][C]0.503597[/C][C]0.726619[/C][C]0.002518[/C][/ROW]
[ROW][C][1400,1600[[/C][C]1500[/C][C]24[/C][C]0.172662[/C][C]0.899281[/C][C]0.000863[/C][/ROW]
[ROW][C][1600,1800[[/C][C]1700[/C][C]11[/C][C]0.079137[/C][C]0.978417[/C][C]0.000396[/C][/ROW]
[ROW][C][1800,2000[[/C][C]1900[/C][C]2[/C][C]0.014388[/C][C]0.992806[/C][C]7.2e-05[/C][/ROW]
[ROW][C][2000,2200[[/C][C]2100[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2200,2400[[/C][C]2300[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2400,2600][/C][C]2500[/C][C]1[/C][C]0.007194[/C][C]1[/C][C]3.6e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266470&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266470&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
[800,1000[90020.0143880.0143887.2e-05
[1000,1200[1100290.2086330.2230220.001043
[1200,1400[1300700.5035970.7266190.002518
[1400,1600[1500240.1726620.8992810.000863
[1600,1800[1700110.0791370.9784170.000396
[1800,2000[190020.0143880.9928067.2e-05
[2000,2200[2100000.9928060
[2200,2400[2300000.9928060
[2400,2600]250010.00719413.6e-05



Parameters (Session):
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')
}