Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 26 Sep 2013 15:04:05 -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/2013/Sep/26/t1380222315ca8mxcxpktd8wyx.htm/, Retrieved Mon, 29 Apr 2024 10:24:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212180, Retrieved Mon, 29 Apr 2024 10:24:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-19 15:18:48] [a75611b4a90550c9019b1ce73353b32a]
- RMPD    [Histogram] [] [2013-09-26 19:04:05] [ba1aac5cc07b687ee7a9bc35c791a1eb] [Current]
Feedback Forum

Post a new message
Dataseries X:
2.7
3
-0.3
1.1
1.7
1.6
3
3.3
6.7
5.6
6
4.8
5.9
4.3
3.7
5.6
1.7
3.2
3.6
1.7
0.5
2.1
1.5
2.7
1.4
1.2
2.3
1.6
4.7
3.5
4.4
3.9
3.5
3
1.6
2.2
4.1
4.3
3.5
1.8
0.6
-0.4
-2.5
-1.6
-1.9
-1.6
-0.7
-1.1
0.3
1.3
3.3
2.4
2
3.9
4.2
4.9
5.8
4.8
4.4
5.3
2.1
2
-0.9
0.1
-0.5
-0.1
0.7
-0.4
-1.5
-0.3
1
0.4
0.3
1.8
3
2.2
3.4
3.4
3.1
4.5
4.6
5.7
4.3
4.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212180&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212180&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212180&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-2.5,-2[-2.2510.0119050.0119050.02381
[-2,-1.5[-1.7530.0357140.0476190.071429
[-1.5,-1[-1.2520.023810.0714290.047619
[-1,-0.5[-0.7520.023810.0952380.047619
[-0.5,0[-0.2560.0714290.1666670.142857
[0,0.5[0.2540.0476190.2142860.095238
[0.5,1[0.7530.0357140.250.071429
[1,1.5[1.2550.0595240.3095240.119048
[1.5,2[1.7590.1071430.4166670.214286
[2,2.5[2.2580.0952380.5119050.190476
[2.5,3[2.7520.023810.5357140.047619
[3,3.5[3.25100.1190480.6547620.238095
[3.5,4[3.7570.0833330.7380950.166667
[4,4.5[4.2570.0833330.8214290.166667
[4.5,5[4.7570.0833330.9047620.166667
[5,5.5[5.2510.0119050.9166670.02381
[5.5,6[5.7550.0595240.976190.119048
[6,6.5[6.2510.0119050.9880950.02381
[6.5,7]6.7510.01190510.02381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-2.5,-2[ & -2.25 & 1 & 0.011905 & 0.011905 & 0.02381 \tabularnewline
[-2,-1.5[ & -1.75 & 3 & 0.035714 & 0.047619 & 0.071429 \tabularnewline
[-1.5,-1[ & -1.25 & 2 & 0.02381 & 0.071429 & 0.047619 \tabularnewline
[-1,-0.5[ & -0.75 & 2 & 0.02381 & 0.095238 & 0.047619 \tabularnewline
[-0.5,0[ & -0.25 & 6 & 0.071429 & 0.166667 & 0.142857 \tabularnewline
[0,0.5[ & 0.25 & 4 & 0.047619 & 0.214286 & 0.095238 \tabularnewline
[0.5,1[ & 0.75 & 3 & 0.035714 & 0.25 & 0.071429 \tabularnewline
[1,1.5[ & 1.25 & 5 & 0.059524 & 0.309524 & 0.119048 \tabularnewline
[1.5,2[ & 1.75 & 9 & 0.107143 & 0.416667 & 0.214286 \tabularnewline
[2,2.5[ & 2.25 & 8 & 0.095238 & 0.511905 & 0.190476 \tabularnewline
[2.5,3[ & 2.75 & 2 & 0.02381 & 0.535714 & 0.047619 \tabularnewline
[3,3.5[ & 3.25 & 10 & 0.119048 & 0.654762 & 0.238095 \tabularnewline
[3.5,4[ & 3.75 & 7 & 0.083333 & 0.738095 & 0.166667 \tabularnewline
[4,4.5[ & 4.25 & 7 & 0.083333 & 0.821429 & 0.166667 \tabularnewline
[4.5,5[ & 4.75 & 7 & 0.083333 & 0.904762 & 0.166667 \tabularnewline
[5,5.5[ & 5.25 & 1 & 0.011905 & 0.916667 & 0.02381 \tabularnewline
[5.5,6[ & 5.75 & 5 & 0.059524 & 0.97619 & 0.119048 \tabularnewline
[6,6.5[ & 6.25 & 1 & 0.011905 & 0.988095 & 0.02381 \tabularnewline
[6.5,7] & 6.75 & 1 & 0.011905 & 1 & 0.02381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212180&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][-2.5,-2[[/C][C]-2.25[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.02381[/C][/ROW]
[ROW][C][-2,-1.5[[/C][C]-1.75[/C][C]3[/C][C]0.035714[/C][C]0.047619[/C][C]0.071429[/C][/ROW]
[ROW][C][-1.5,-1[[/C][C]-1.25[/C][C]2[/C][C]0.02381[/C][C]0.071429[/C][C]0.047619[/C][/ROW]
[ROW][C][-1,-0.5[[/C][C]-0.75[/C][C]2[/C][C]0.02381[/C][C]0.095238[/C][C]0.047619[/C][/ROW]
[ROW][C][-0.5,0[[/C][C]-0.25[/C][C]6[/C][C]0.071429[/C][C]0.166667[/C][C]0.142857[/C][/ROW]
[ROW][C][0,0.5[[/C][C]0.25[/C][C]4[/C][C]0.047619[/C][C]0.214286[/C][C]0.095238[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]3[/C][C]0.035714[/C][C]0.25[/C][C]0.071429[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]5[/C][C]0.059524[/C][C]0.309524[/C][C]0.119048[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]9[/C][C]0.107143[/C][C]0.416667[/C][C]0.214286[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]8[/C][C]0.095238[/C][C]0.511905[/C][C]0.190476[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]2[/C][C]0.02381[/C][C]0.535714[/C][C]0.047619[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]10[/C][C]0.119048[/C][C]0.654762[/C][C]0.238095[/C][/ROW]
[ROW][C][3.5,4[[/C][C]3.75[/C][C]7[/C][C]0.083333[/C][C]0.738095[/C][C]0.166667[/C][/ROW]
[ROW][C][4,4.5[[/C][C]4.25[/C][C]7[/C][C]0.083333[/C][C]0.821429[/C][C]0.166667[/C][/ROW]
[ROW][C][4.5,5[[/C][C]4.75[/C][C]7[/C][C]0.083333[/C][C]0.904762[/C][C]0.166667[/C][/ROW]
[ROW][C][5,5.5[[/C][C]5.25[/C][C]1[/C][C]0.011905[/C][C]0.916667[/C][C]0.02381[/C][/ROW]
[ROW][C][5.5,6[[/C][C]5.75[/C][C]5[/C][C]0.059524[/C][C]0.97619[/C][C]0.119048[/C][/ROW]
[ROW][C][6,6.5[[/C][C]6.25[/C][C]1[/C][C]0.011905[/C][C]0.988095[/C][C]0.02381[/C][/ROW]
[ROW][C][6.5,7][/C][C]6.75[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]0.02381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212180&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212180&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
[-2.5,-2[-2.2510.0119050.0119050.02381
[-2,-1.5[-1.7530.0357140.0476190.071429
[-1.5,-1[-1.2520.023810.0714290.047619
[-1,-0.5[-0.7520.023810.0952380.047619
[-0.5,0[-0.2560.0714290.1666670.142857
[0,0.5[0.2540.0476190.2142860.095238
[0.5,1[0.7530.0357140.250.071429
[1,1.5[1.2550.0595240.3095240.119048
[1.5,2[1.7590.1071430.4166670.214286
[2,2.5[2.2580.0952380.5119050.190476
[2.5,3[2.7520.023810.5357140.047619
[3,3.5[3.25100.1190480.6547620.238095
[3.5,4[3.7570.0833330.7380950.166667
[4,4.5[4.2570.0833330.8214290.166667
[4.5,5[4.7570.0833330.9047620.166667
[5,5.5[5.2510.0119050.9166670.02381
[5.5,6[5.7550.0595240.976190.119048
[6,6.5[6.2510.0119050.9880950.02381
[6.5,7]6.7510.01190510.02381



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 <- '12'
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')
}