Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 08 Oct 2012 09:43:50 -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/08/t1349703953po9bk9n2d764n17.htm/, Retrieved Thu, 02 May 2024 02:44:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173565, Retrieved Thu, 02 May 2024 02:44:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-09-24 16:47:49] [5cfb417290cfdaa2d61876218bdd6d2b]
- R PD    [Histogram] [] [2012-10-08 13:43:50] [1f67b74fe1ed310301b27ef9f29963ed] [Current]
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Dataseries X:
1.44
1.45
1.45
1.47
1.49
1.5
1.5
1.5
1.5
1.5
1.5
1.51
1.52
1.51
1.51
1.51
1.52
1.52
1.52
1.52
1.52
1.53
1.53
1.53
1.53
1.54
1.54
1.55
1.56
1.55
1.56
1.56
1.56
1.56
1.57
1.56
1.57
1.58
1.58
1.58
1.6
1.61
1.61
1.61
1.6
1.59
1.56
1.57
1.55
1.59
1.62
1.63
1.62
1.56
1.56
1.54
1.54
1.52
1.56
1.59
1.61
1.56
1.51
1.48
1.49
1.48
1.47
1.47
1.46
1.45
1.45
1.45




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=173565&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=173565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173565&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
[1.44,1.45[1.44510.0138890.0138891.388889
[1.45,1.46[1.45550.0694440.0833336.944444
[1.46,1.47[1.46510.0138890.0972221.388889
[1.47,1.48[1.47530.0416670.1388894.166667
[1.48,1.49[1.48520.0277780.1666672.777778
[1.49,1.5[1.49520.0277780.1944442.777778
[1.5,1.51[1.50560.0833330.2777788.333333
[1.51,1.52[1.51550.0694440.3472226.944444
[1.52,1.53[1.52570.0972220.4444449.722222
[1.53,1.54[1.53540.0555560.55.555556
[1.54,1.55[1.54540.0555560.5555565.555556
[1.55,1.56[1.55530.0416670.5972224.166667
[1.56,1.57[1.565110.1527780.7515.277778
[1.57,1.58[1.57530.0416670.7916674.166667
[1.58,1.59[1.58530.0416670.8333334.166667
[1.59,1.6[1.59530.0416670.8754.166667
[1.6,1.61[1.60520.0277780.9027782.777778
[1.61,1.62[1.61540.0555560.9583335.555556
[1.62,1.63]1.62530.04166714.166667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.44,1.45[ & 1.445 & 1 & 0.013889 & 0.013889 & 1.388889 \tabularnewline
[1.45,1.46[ & 1.455 & 5 & 0.069444 & 0.083333 & 6.944444 \tabularnewline
[1.46,1.47[ & 1.465 & 1 & 0.013889 & 0.097222 & 1.388889 \tabularnewline
[1.47,1.48[ & 1.475 & 3 & 0.041667 & 0.138889 & 4.166667 \tabularnewline
[1.48,1.49[ & 1.485 & 2 & 0.027778 & 0.166667 & 2.777778 \tabularnewline
[1.49,1.5[ & 1.495 & 2 & 0.027778 & 0.194444 & 2.777778 \tabularnewline
[1.5,1.51[ & 1.505 & 6 & 0.083333 & 0.277778 & 8.333333 \tabularnewline
[1.51,1.52[ & 1.515 & 5 & 0.069444 & 0.347222 & 6.944444 \tabularnewline
[1.52,1.53[ & 1.525 & 7 & 0.097222 & 0.444444 & 9.722222 \tabularnewline
[1.53,1.54[ & 1.535 & 4 & 0.055556 & 0.5 & 5.555556 \tabularnewline
[1.54,1.55[ & 1.545 & 4 & 0.055556 & 0.555556 & 5.555556 \tabularnewline
[1.55,1.56[ & 1.555 & 3 & 0.041667 & 0.597222 & 4.166667 \tabularnewline
[1.56,1.57[ & 1.565 & 11 & 0.152778 & 0.75 & 15.277778 \tabularnewline
[1.57,1.58[ & 1.575 & 3 & 0.041667 & 0.791667 & 4.166667 \tabularnewline
[1.58,1.59[ & 1.585 & 3 & 0.041667 & 0.833333 & 4.166667 \tabularnewline
[1.59,1.6[ & 1.595 & 3 & 0.041667 & 0.875 & 4.166667 \tabularnewline
[1.6,1.61[ & 1.605 & 2 & 0.027778 & 0.902778 & 2.777778 \tabularnewline
[1.61,1.62[ & 1.615 & 4 & 0.055556 & 0.958333 & 5.555556 \tabularnewline
[1.62,1.63] & 1.625 & 3 & 0.041667 & 1 & 4.166667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173565&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][1.44,1.45[[/C][C]1.445[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]1.388889[/C][/ROW]
[ROW][C][1.45,1.46[[/C][C]1.455[/C][C]5[/C][C]0.069444[/C][C]0.083333[/C][C]6.944444[/C][/ROW]
[ROW][C][1.46,1.47[[/C][C]1.465[/C][C]1[/C][C]0.013889[/C][C]0.097222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.47,1.48[[/C][C]1.475[/C][C]3[/C][C]0.041667[/C][C]0.138889[/C][C]4.166667[/C][/ROW]
[ROW][C][1.48,1.49[[/C][C]1.485[/C][C]2[/C][C]0.027778[/C][C]0.166667[/C][C]2.777778[/C][/ROW]
[ROW][C][1.49,1.5[[/C][C]1.495[/C][C]2[/C][C]0.027778[/C][C]0.194444[/C][C]2.777778[/C][/ROW]
[ROW][C][1.5,1.51[[/C][C]1.505[/C][C]6[/C][C]0.083333[/C][C]0.277778[/C][C]8.333333[/C][/ROW]
[ROW][C][1.51,1.52[[/C][C]1.515[/C][C]5[/C][C]0.069444[/C][C]0.347222[/C][C]6.944444[/C][/ROW]
[ROW][C][1.52,1.53[[/C][C]1.525[/C][C]7[/C][C]0.097222[/C][C]0.444444[/C][C]9.722222[/C][/ROW]
[ROW][C][1.53,1.54[[/C][C]1.535[/C][C]4[/C][C]0.055556[/C][C]0.5[/C][C]5.555556[/C][/ROW]
[ROW][C][1.54,1.55[[/C][C]1.545[/C][C]4[/C][C]0.055556[/C][C]0.555556[/C][C]5.555556[/C][/ROW]
[ROW][C][1.55,1.56[[/C][C]1.555[/C][C]3[/C][C]0.041667[/C][C]0.597222[/C][C]4.166667[/C][/ROW]
[ROW][C][1.56,1.57[[/C][C]1.565[/C][C]11[/C][C]0.152778[/C][C]0.75[/C][C]15.277778[/C][/ROW]
[ROW][C][1.57,1.58[[/C][C]1.575[/C][C]3[/C][C]0.041667[/C][C]0.791667[/C][C]4.166667[/C][/ROW]
[ROW][C][1.58,1.59[[/C][C]1.585[/C][C]3[/C][C]0.041667[/C][C]0.833333[/C][C]4.166667[/C][/ROW]
[ROW][C][1.59,1.6[[/C][C]1.595[/C][C]3[/C][C]0.041667[/C][C]0.875[/C][C]4.166667[/C][/ROW]
[ROW][C][1.6,1.61[[/C][C]1.605[/C][C]2[/C][C]0.027778[/C][C]0.902778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.61,1.62[[/C][C]1.615[/C][C]4[/C][C]0.055556[/C][C]0.958333[/C][C]5.555556[/C][/ROW]
[ROW][C][1.62,1.63][/C][C]1.625[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]4.166667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173565&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173565&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
[1.44,1.45[1.44510.0138890.0138891.388889
[1.45,1.46[1.45550.0694440.0833336.944444
[1.46,1.47[1.46510.0138890.0972221.388889
[1.47,1.48[1.47530.0416670.1388894.166667
[1.48,1.49[1.48520.0277780.1666672.777778
[1.49,1.5[1.49520.0277780.1944442.777778
[1.5,1.51[1.50560.0833330.2777788.333333
[1.51,1.52[1.51550.0694440.3472226.944444
[1.52,1.53[1.52570.0972220.4444449.722222
[1.53,1.54[1.53540.0555560.55.555556
[1.54,1.55[1.54540.0555560.5555565.555556
[1.55,1.56[1.55530.0416670.5972224.166667
[1.56,1.57[1.565110.1527780.7515.277778
[1.57,1.58[1.57530.0416670.7916674.166667
[1.58,1.59[1.58530.0416670.8333334.166667
[1.59,1.6[1.59530.0416670.8754.166667
[1.6,1.61[1.60520.0277780.9027782.777778
[1.61,1.62[1.61540.0555560.9583335.555556
[1.62,1.63]1.62530.04166714.166667



Parameters (Session):
par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '15'
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')
}