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 computationMon, 14 Dec 2015 16:12:15 +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/2015/Dec/14/t1450109610h6mm6ub3bayldx4.htm/, Retrieved Thu, 31 Oct 2024 23:55:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286337, Retrieved Thu, 31 Oct 2024 23:55:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [boxplot] [2015-12-07 13:57:43] [006b54b8ce76f482b86cd20c6480b526]
-       [Notched Boxplots] [boxplot] [2015-12-07 14:04:56] [006b54b8ce76f482b86cd20c6480b526]
- R PD    [Notched Boxplots] [Boxplot 25-50] [2015-12-07 14:11:12] [006b54b8ce76f482b86cd20c6480b526]
-    D      [Notched Boxplots] [Boxplot ouder 50] [2015-12-07 14:12:43] [006b54b8ce76f482b86cd20c6480b526]
- R  D        [Notched Boxplots] [] [2015-12-07 14:21:26] [006b54b8ce76f482b86cd20c6480b526]
- RM D          [Histogram] [Histogram totaal ...] [2015-12-07 14:21:55] [006b54b8ce76f482b86cd20c6480b526]
-    D            [Histogram] [Histogram totaal ...] [2015-12-07 14:22:55] [006b54b8ce76f482b86cd20c6480b526]
- RMPD              [Notched Boxplots] [] [2015-12-14 16:11:38] [006b54b8ce76f482b86cd20c6480b526]
- RMPD                  [Histogram] [mannen jonger dan 25] [2015-12-14 16:12:15] [7a1b228211171c106fd09cb69827bfa3] [Current]
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Dataseries X:
63966
60410
59440
59445
57614
55396
53030
50090
48764
61658
63943
64878
60634
57905
57224
60953
60621
57258
54903
53278
53042
63753
69210
71446
68408
65427
64630
66086
65058
62689
60841
57346
56222
68202
70745
73690
68992
65925
65546
67221
65315
62038
58774
55320
53900
65544
67906
70911
66544
63657
61720
62140
60837
58632
54642
51125
51000
60486
62685
66142
61895




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=286337&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=286337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286337&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
[45000,50000[4750010.0163930.0163933e-06
[50000,55000[5250090.1475410.1639343e-05
[55000,60000[57500120.1967210.3606563.9e-05
[60000,65000[62500200.3278690.6885256.6e-05
[65000,70000[67500150.2459020.9344264.9e-05
[70000,75000]7250040.06557411.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[45000,50000[ & 47500 & 1 & 0.016393 & 0.016393 & 3e-06 \tabularnewline
[50000,55000[ & 52500 & 9 & 0.147541 & 0.163934 & 3e-05 \tabularnewline
[55000,60000[ & 57500 & 12 & 0.196721 & 0.360656 & 3.9e-05 \tabularnewline
[60000,65000[ & 62500 & 20 & 0.327869 & 0.688525 & 6.6e-05 \tabularnewline
[65000,70000[ & 67500 & 15 & 0.245902 & 0.934426 & 4.9e-05 \tabularnewline
[70000,75000] & 72500 & 4 & 0.065574 & 1 & 1.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286337&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][45000,50000[[/C][C]47500[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]3e-06[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]9[/C][C]0.147541[/C][C]0.163934[/C][C]3e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]12[/C][C]0.196721[/C][C]0.360656[/C][C]3.9e-05[/C][/ROW]
[ROW][C][60000,65000[[/C][C]62500[/C][C]20[/C][C]0.327869[/C][C]0.688525[/C][C]6.6e-05[/C][/ROW]
[ROW][C][65000,70000[[/C][C]67500[/C][C]15[/C][C]0.245902[/C][C]0.934426[/C][C]4.9e-05[/C][/ROW]
[ROW][C][70000,75000][/C][C]72500[/C][C]4[/C][C]0.065574[/C][C]1[/C][C]1.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286337&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
[45000,50000[4750010.0163930.0163933e-06
[50000,55000[5250090.1475410.1639343e-05
[55000,60000[57500120.1967210.3606563.9e-05
[60000,65000[62500200.3278690.6885256.6e-05
[65000,70000[67500150.2459020.9344264.9e-05
[70000,75000]7250040.06557411.3e-05



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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 {
barplot(mytab <- sort(table(x),T),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')
}