Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 28 Nov 2013 10:31:23 -0500
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/Nov/28/t13856527186yb2x2z57ij3oj6.htm/, Retrieved Fri, 03 May 2024 07:13:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=229331, Retrieved Fri, 03 May 2024 07:13:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Consumentenvertro...] [2013-09-28 08:26:06] [61b25b32dcf69dddf2383fb8b69d6222]
- RMP   [Histogram] [] [2013-09-28 10:25:52] [61b25b32dcf69dddf2383fb8b69d6222]
- R P     [Histogram] [] [2013-09-28 10:29:10] [61b25b32dcf69dddf2383fb8b69d6222]
-   P         [Histogram] [] [2013-11-28 15:31:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20
-24
-24
-22
-19
-18
-17
-11
-11
-12
-10
-15
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2
-3
1
-2
-1
1
-3
-4
-9
-9
-7
-14
-12
-16
-20
-12
-12
-10
-10
-13
-16
-14
-17
-24
-25




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=229331&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=229331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=229331&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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-25,-24[-24.520.023810.023810.02381
[-24,-23[-23.530.0357140.0595240.035714
[-23,-22[-22.5000.0595240
[-22,-21[-21.520.023810.0833330.02381
[-21,-20[-20.5000.0833330
[-20,-19[-19.520.023810.1071430.02381
[-19,-18[-18.510.0119050.1190480.011905
[-18,-17[-17.510.0119050.1309520.011905
[-17,-16[-16.530.0357140.1666670.035714
[-16,-15[-15.520.023810.1904760.02381
[-15,-14[-14.530.0357140.226190.035714
[-14,-13[-13.520.023810.250.02381
[-13,-12[-12.540.0476190.2976190.047619
[-12,-11[-11.540.0476190.3452380.047619
[-11,-10[-10.540.0476190.3928570.047619
[-10,-9[-9.530.0357140.4285710.035714
[-9,-8[-8.550.0595240.4880950.059524
[-8,-7[-7.530.0357140.523810.035714
[-7,-6[-6.530.0357140.5595240.035714
[-6,-5[-5.520.023810.5833330.02381
[-5,-4[-4.510.0119050.5952380.011905
[-4,-3[-3.550.0595240.6547620.059524
[-3,-2[-2.540.0476190.7023810.047619
[-2,-1[-1.5100.1190480.8214290.119048
[-1,0[-0.560.0714290.8928570.071429
[0,1[0.510.0119050.9047620.011905
[1,2]1.580.09523810.095238

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-24[ & -24.5 & 2 & 0.02381 & 0.02381 & 0.02381 \tabularnewline
[-24,-23[ & -23.5 & 3 & 0.035714 & 0.059524 & 0.035714 \tabularnewline
[-23,-22[ & -22.5 & 0 & 0 & 0.059524 & 0 \tabularnewline
[-22,-21[ & -21.5 & 2 & 0.02381 & 0.083333 & 0.02381 \tabularnewline
[-21,-20[ & -20.5 & 0 & 0 & 0.083333 & 0 \tabularnewline
[-20,-19[ & -19.5 & 2 & 0.02381 & 0.107143 & 0.02381 \tabularnewline
[-19,-18[ & -18.5 & 1 & 0.011905 & 0.119048 & 0.011905 \tabularnewline
[-18,-17[ & -17.5 & 1 & 0.011905 & 0.130952 & 0.011905 \tabularnewline
[-17,-16[ & -16.5 & 3 & 0.035714 & 0.166667 & 0.035714 \tabularnewline
[-16,-15[ & -15.5 & 2 & 0.02381 & 0.190476 & 0.02381 \tabularnewline
[-15,-14[ & -14.5 & 3 & 0.035714 & 0.22619 & 0.035714 \tabularnewline
[-14,-13[ & -13.5 & 2 & 0.02381 & 0.25 & 0.02381 \tabularnewline
[-13,-12[ & -12.5 & 4 & 0.047619 & 0.297619 & 0.047619 \tabularnewline
[-12,-11[ & -11.5 & 4 & 0.047619 & 0.345238 & 0.047619 \tabularnewline
[-11,-10[ & -10.5 & 4 & 0.047619 & 0.392857 & 0.047619 \tabularnewline
[-10,-9[ & -9.5 & 3 & 0.035714 & 0.428571 & 0.035714 \tabularnewline
[-9,-8[ & -8.5 & 5 & 0.059524 & 0.488095 & 0.059524 \tabularnewline
[-8,-7[ & -7.5 & 3 & 0.035714 & 0.52381 & 0.035714 \tabularnewline
[-7,-6[ & -6.5 & 3 & 0.035714 & 0.559524 & 0.035714 \tabularnewline
[-6,-5[ & -5.5 & 2 & 0.02381 & 0.583333 & 0.02381 \tabularnewline
[-5,-4[ & -4.5 & 1 & 0.011905 & 0.595238 & 0.011905 \tabularnewline
[-4,-3[ & -3.5 & 5 & 0.059524 & 0.654762 & 0.059524 \tabularnewline
[-3,-2[ & -2.5 & 4 & 0.047619 & 0.702381 & 0.047619 \tabularnewline
[-2,-1[ & -1.5 & 10 & 0.119048 & 0.821429 & 0.119048 \tabularnewline
[-1,0[ & -0.5 & 6 & 0.071429 & 0.892857 & 0.071429 \tabularnewline
[0,1[ & 0.5 & 1 & 0.011905 & 0.904762 & 0.011905 \tabularnewline
[1,2] & 1.5 & 8 & 0.095238 & 1 & 0.095238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=229331&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][-25,-24[[/C][C]-24.5[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.02381[/C][/ROW]
[ROW][C][-24,-23[[/C][C]-23.5[/C][C]3[/C][C]0.035714[/C][C]0.059524[/C][C]0.035714[/C][/ROW]
[ROW][C][-23,-22[[/C][C]-22.5[/C][C]0[/C][C]0[/C][C]0.059524[/C][C]0[/C][/ROW]
[ROW][C][-22,-21[[/C][C]-21.5[/C][C]2[/C][C]0.02381[/C][C]0.083333[/C][C]0.02381[/C][/ROW]
[ROW][C][-21,-20[[/C][C]-20.5[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][-20,-19[[/C][C]-19.5[/C][C]2[/C][C]0.02381[/C][C]0.107143[/C][C]0.02381[/C][/ROW]
[ROW][C][-19,-18[[/C][C]-18.5[/C][C]1[/C][C]0.011905[/C][C]0.119048[/C][C]0.011905[/C][/ROW]
[ROW][C][-18,-17[[/C][C]-17.5[/C][C]1[/C][C]0.011905[/C][C]0.130952[/C][C]0.011905[/C][/ROW]
[ROW][C][-17,-16[[/C][C]-16.5[/C][C]3[/C][C]0.035714[/C][C]0.166667[/C][C]0.035714[/C][/ROW]
[ROW][C][-16,-15[[/C][C]-15.5[/C][C]2[/C][C]0.02381[/C][C]0.190476[/C][C]0.02381[/C][/ROW]
[ROW][C][-15,-14[[/C][C]-14.5[/C][C]3[/C][C]0.035714[/C][C]0.22619[/C][C]0.035714[/C][/ROW]
[ROW][C][-14,-13[[/C][C]-13.5[/C][C]2[/C][C]0.02381[/C][C]0.25[/C][C]0.02381[/C][/ROW]
[ROW][C][-13,-12[[/C][C]-12.5[/C][C]4[/C][C]0.047619[/C][C]0.297619[/C][C]0.047619[/C][/ROW]
[ROW][C][-12,-11[[/C][C]-11.5[/C][C]4[/C][C]0.047619[/C][C]0.345238[/C][C]0.047619[/C][/ROW]
[ROW][C][-11,-10[[/C][C]-10.5[/C][C]4[/C][C]0.047619[/C][C]0.392857[/C][C]0.047619[/C][/ROW]
[ROW][C][-10,-9[[/C][C]-9.5[/C][C]3[/C][C]0.035714[/C][C]0.428571[/C][C]0.035714[/C][/ROW]
[ROW][C][-9,-8[[/C][C]-8.5[/C][C]5[/C][C]0.059524[/C][C]0.488095[/C][C]0.059524[/C][/ROW]
[ROW][C][-8,-7[[/C][C]-7.5[/C][C]3[/C][C]0.035714[/C][C]0.52381[/C][C]0.035714[/C][/ROW]
[ROW][C][-7,-6[[/C][C]-6.5[/C][C]3[/C][C]0.035714[/C][C]0.559524[/C][C]0.035714[/C][/ROW]
[ROW][C][-6,-5[[/C][C]-5.5[/C][C]2[/C][C]0.02381[/C][C]0.583333[/C][C]0.02381[/C][/ROW]
[ROW][C][-5,-4[[/C][C]-4.5[/C][C]1[/C][C]0.011905[/C][C]0.595238[/C][C]0.011905[/C][/ROW]
[ROW][C][-4,-3[[/C][C]-3.5[/C][C]5[/C][C]0.059524[/C][C]0.654762[/C][C]0.059524[/C][/ROW]
[ROW][C][-3,-2[[/C][C]-2.5[/C][C]4[/C][C]0.047619[/C][C]0.702381[/C][C]0.047619[/C][/ROW]
[ROW][C][-2,-1[[/C][C]-1.5[/C][C]10[/C][C]0.119048[/C][C]0.821429[/C][C]0.119048[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]6[/C][C]0.071429[/C][C]0.892857[/C][C]0.071429[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]1[/C][C]0.011905[/C][C]0.904762[/C][C]0.011905[/C][/ROW]
[ROW][C][1,2][/C][C]1.5[/C][C]8[/C][C]0.095238[/C][C]1[/C][C]0.095238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=229331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=229331&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
[-25,-24[-24.520.023810.023810.02381
[-24,-23[-23.530.0357140.0595240.035714
[-23,-22[-22.5000.0595240
[-22,-21[-21.520.023810.0833330.02381
[-21,-20[-20.5000.0833330
[-20,-19[-19.520.023810.1071430.02381
[-19,-18[-18.510.0119050.1190480.011905
[-18,-17[-17.510.0119050.1309520.011905
[-17,-16[-16.530.0357140.1666670.035714
[-16,-15[-15.520.023810.1904760.02381
[-15,-14[-14.530.0357140.226190.035714
[-14,-13[-13.520.023810.250.02381
[-13,-12[-12.540.0476190.2976190.047619
[-12,-11[-11.540.0476190.3452380.047619
[-11,-10[-10.540.0476190.3928570.047619
[-10,-9[-9.530.0357140.4285710.035714
[-9,-8[-8.550.0595240.4880950.059524
[-8,-7[-7.530.0357140.523810.035714
[-7,-6[-6.530.0357140.5595240.035714
[-6,-5[-5.520.023810.5833330.02381
[-5,-4[-4.510.0119050.5952380.011905
[-4,-3[-3.550.0595240.6547620.059524
[-3,-2[-2.540.0476190.7023810.047619
[-2,-1[-1.5100.1190480.8214290.119048
[-1,0[-0.560.0714290.8928570.071429
[0,1[0.510.0119050.9047620.011905
[1,2]1.580.09523810.095238



Parameters (Session):
par1 = 25 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 25 ; 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')
}