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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 20 May 2015 15:00:12 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/20/t1432130479hjya203i15jwgzv.htm/, Retrieved Mon, 29 Apr 2024 04:45:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279171, Retrieved Mon, 29 Apr 2024 04:45:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbis
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Opgave 1 verbeterd] [2015-02-03 18:41:16] [6514c6841f87d5984b117bf64f5432d7]
- RMP   [Histogram] [Opgave 2 opdracht...] [2015-02-03 19:54:08] [6514c6841f87d5984b117bf64f5432d7]
- R       [Histogram] [Opgave 2 opdracht...] [2015-05-20 13:54:52] [6514c6841f87d5984b117bf64f5432d7]
-   P         [Histogram] [Opgave 2 opdracht...] [2015-05-20 14:00:12] [1738856fac0304df70af8aee7fa46d3f] [Current]
-   P           [Histogram] [Opgave 2 opdracht...] [2015-05-20 14:03:34] [6514c6841f87d5984b117bf64f5432d7]
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Dataseries X:
-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
-23
-17
-24
-20
-19
-18
-16
-12
-7
-6
-6
-5
-4
-4
-8
-9
-6
-7
-10
-11
-11
-12
-14
-12




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=279171&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=279171&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279171&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
[-25,-24[-24.510.0138890.0138890.013889
[-24,-23[-23.540.0555560.0694440.055556
[-23,-22[-22.510.0138890.0833330.013889
[-22,-21[-21.510.0138890.0972220.013889
[-21,-20[-20.5000.0972220
[-20,-19[-19.530.0416670.1388890.041667
[-19,-18[-18.520.0277780.1666670.027778
[-18,-17[-17.520.0277780.1944440.027778
[-17,-16[-16.530.0416670.2361110.041667
[-16,-15[-15.530.0416670.2777780.041667
[-15,-14[-14.530.0416670.3194440.041667
[-14,-13[-13.530.0416670.3611110.041667
[-13,-12[-12.530.0416670.4027780.041667
[-12,-11[-11.570.0972220.50.097222
[-11,-10[-10.540.0555560.5555560.055556
[-10,-9[-9.540.0555560.6111110.055556
[-9,-8[-8.540.0555560.6666670.055556
[-8,-7[-7.520.0277780.6944440.027778
[-7,-6[-6.540.0555560.750.055556
[-6,-5[-5.530.0416670.7916670.041667
[-5,-4[-4.510.0138890.8055560.013889
[-4,-3[-3.550.0694440.8750.069444
[-3,-2[-2.520.0277780.9027780.027778
[-2,-1[-1.530.0416670.9444440.041667
[-1,0[-0.510.0138890.9583330.013889
[0,1]0.530.04166710.041667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-24[ & -24.5 & 1 & 0.013889 & 0.013889 & 0.013889 \tabularnewline
[-24,-23[ & -23.5 & 4 & 0.055556 & 0.069444 & 0.055556 \tabularnewline
[-23,-22[ & -22.5 & 1 & 0.013889 & 0.083333 & 0.013889 \tabularnewline
[-22,-21[ & -21.5 & 1 & 0.013889 & 0.097222 & 0.013889 \tabularnewline
[-21,-20[ & -20.5 & 0 & 0 & 0.097222 & 0 \tabularnewline
[-20,-19[ & -19.5 & 3 & 0.041667 & 0.138889 & 0.041667 \tabularnewline
[-19,-18[ & -18.5 & 2 & 0.027778 & 0.166667 & 0.027778 \tabularnewline
[-18,-17[ & -17.5 & 2 & 0.027778 & 0.194444 & 0.027778 \tabularnewline
[-17,-16[ & -16.5 & 3 & 0.041667 & 0.236111 & 0.041667 \tabularnewline
[-16,-15[ & -15.5 & 3 & 0.041667 & 0.277778 & 0.041667 \tabularnewline
[-15,-14[ & -14.5 & 3 & 0.041667 & 0.319444 & 0.041667 \tabularnewline
[-14,-13[ & -13.5 & 3 & 0.041667 & 0.361111 & 0.041667 \tabularnewline
[-13,-12[ & -12.5 & 3 & 0.041667 & 0.402778 & 0.041667 \tabularnewline
[-12,-11[ & -11.5 & 7 & 0.097222 & 0.5 & 0.097222 \tabularnewline
[-11,-10[ & -10.5 & 4 & 0.055556 & 0.555556 & 0.055556 \tabularnewline
[-10,-9[ & -9.5 & 4 & 0.055556 & 0.611111 & 0.055556 \tabularnewline
[-9,-8[ & -8.5 & 4 & 0.055556 & 0.666667 & 0.055556 \tabularnewline
[-8,-7[ & -7.5 & 2 & 0.027778 & 0.694444 & 0.027778 \tabularnewline
[-7,-6[ & -6.5 & 4 & 0.055556 & 0.75 & 0.055556 \tabularnewline
[-6,-5[ & -5.5 & 3 & 0.041667 & 0.791667 & 0.041667 \tabularnewline
[-5,-4[ & -4.5 & 1 & 0.013889 & 0.805556 & 0.013889 \tabularnewline
[-4,-3[ & -3.5 & 5 & 0.069444 & 0.875 & 0.069444 \tabularnewline
[-3,-2[ & -2.5 & 2 & 0.027778 & 0.902778 & 0.027778 \tabularnewline
[-2,-1[ & -1.5 & 3 & 0.041667 & 0.944444 & 0.041667 \tabularnewline
[-1,0[ & -0.5 & 1 & 0.013889 & 0.958333 & 0.013889 \tabularnewline
[0,1] & 0.5 & 3 & 0.041667 & 1 & 0.041667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279171&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]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.013889[/C][/ROW]
[ROW][C][-24,-23[[/C][C]-23.5[/C][C]4[/C][C]0.055556[/C][C]0.069444[/C][C]0.055556[/C][/ROW]
[ROW][C][-23,-22[[/C][C]-22.5[/C][C]1[/C][C]0.013889[/C][C]0.083333[/C][C]0.013889[/C][/ROW]
[ROW][C][-22,-21[[/C][C]-21.5[/C][C]1[/C][C]0.013889[/C][C]0.097222[/C][C]0.013889[/C][/ROW]
[ROW][C][-21,-20[[/C][C]-20.5[/C][C]0[/C][C]0[/C][C]0.097222[/C][C]0[/C][/ROW]
[ROW][C][-20,-19[[/C][C]-19.5[/C][C]3[/C][C]0.041667[/C][C]0.138889[/C][C]0.041667[/C][/ROW]
[ROW][C][-19,-18[[/C][C]-18.5[/C][C]2[/C][C]0.027778[/C][C]0.166667[/C][C]0.027778[/C][/ROW]
[ROW][C][-18,-17[[/C][C]-17.5[/C][C]2[/C][C]0.027778[/C][C]0.194444[/C][C]0.027778[/C][/ROW]
[ROW][C][-17,-16[[/C][C]-16.5[/C][C]3[/C][C]0.041667[/C][C]0.236111[/C][C]0.041667[/C][/ROW]
[ROW][C][-16,-15[[/C][C]-15.5[/C][C]3[/C][C]0.041667[/C][C]0.277778[/C][C]0.041667[/C][/ROW]
[ROW][C][-15,-14[[/C][C]-14.5[/C][C]3[/C][C]0.041667[/C][C]0.319444[/C][C]0.041667[/C][/ROW]
[ROW][C][-14,-13[[/C][C]-13.5[/C][C]3[/C][C]0.041667[/C][C]0.361111[/C][C]0.041667[/C][/ROW]
[ROW][C][-13,-12[[/C][C]-12.5[/C][C]3[/C][C]0.041667[/C][C]0.402778[/C][C]0.041667[/C][/ROW]
[ROW][C][-12,-11[[/C][C]-11.5[/C][C]7[/C][C]0.097222[/C][C]0.5[/C][C]0.097222[/C][/ROW]
[ROW][C][-11,-10[[/C][C]-10.5[/C][C]4[/C][C]0.055556[/C][C]0.555556[/C][C]0.055556[/C][/ROW]
[ROW][C][-10,-9[[/C][C]-9.5[/C][C]4[/C][C]0.055556[/C][C]0.611111[/C][C]0.055556[/C][/ROW]
[ROW][C][-9,-8[[/C][C]-8.5[/C][C]4[/C][C]0.055556[/C][C]0.666667[/C][C]0.055556[/C][/ROW]
[ROW][C][-8,-7[[/C][C]-7.5[/C][C]2[/C][C]0.027778[/C][C]0.694444[/C][C]0.027778[/C][/ROW]
[ROW][C][-7,-6[[/C][C]-6.5[/C][C]4[/C][C]0.055556[/C][C]0.75[/C][C]0.055556[/C][/ROW]
[ROW][C][-6,-5[[/C][C]-5.5[/C][C]3[/C][C]0.041667[/C][C]0.791667[/C][C]0.041667[/C][/ROW]
[ROW][C][-5,-4[[/C][C]-4.5[/C][C]1[/C][C]0.013889[/C][C]0.805556[/C][C]0.013889[/C][/ROW]
[ROW][C][-4,-3[[/C][C]-3.5[/C][C]5[/C][C]0.069444[/C][C]0.875[/C][C]0.069444[/C][/ROW]
[ROW][C][-3,-2[[/C][C]-2.5[/C][C]2[/C][C]0.027778[/C][C]0.902778[/C][C]0.027778[/C][/ROW]
[ROW][C][-2,-1[[/C][C]-1.5[/C][C]3[/C][C]0.041667[/C][C]0.944444[/C][C]0.041667[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.013889[/C][/ROW]
[ROW][C][0,1][/C][C]0.5[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.041667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279171&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279171&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[-24.510.0138890.0138890.013889
[-24,-23[-23.540.0555560.0694440.055556
[-23,-22[-22.510.0138890.0833330.013889
[-22,-21[-21.510.0138890.0972220.013889
[-21,-20[-20.5000.0972220
[-20,-19[-19.530.0416670.1388890.041667
[-19,-18[-18.520.0277780.1666670.027778
[-18,-17[-17.520.0277780.1944440.027778
[-17,-16[-16.530.0416670.2361110.041667
[-16,-15[-15.530.0416670.2777780.041667
[-15,-14[-14.530.0416670.3194440.041667
[-14,-13[-13.530.0416670.3611110.041667
[-13,-12[-12.530.0416670.4027780.041667
[-12,-11[-11.570.0972220.50.097222
[-11,-10[-10.540.0555560.5555560.055556
[-10,-9[-9.540.0555560.6111110.055556
[-9,-8[-8.540.0555560.6666670.055556
[-8,-7[-7.520.0277780.6944440.027778
[-7,-6[-6.540.0555560.750.055556
[-6,-5[-5.530.0416670.7916670.041667
[-5,-4[-4.510.0138890.8055560.013889
[-4,-3[-3.550.0694440.8750.069444
[-3,-2[-2.520.0277780.9027780.027778
[-2,-1[-1.530.0416670.9444440.041667
[-1,0[-0.510.0138890.9583330.013889
[0,1]0.530.04166710.041667



Parameters (Session):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; 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')
}