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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 07 Dec 2015 14:35:14 +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/07/t1449498929hbalypnp38iyuhy.htm/, Retrieved Thu, 16 May 2024 06:35:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285405, Retrieved Thu, 16 May 2024 06:35:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

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]
-    D              [Histogram] [Histogram mannen ...] [2015-12-07 14:30:30] [006b54b8ce76f482b86cd20c6480b526]
-    D                [Histogram] [Histogram vrouwen...] [2015-12-07 14:31:49] [006b54b8ce76f482b86cd20c6480b526]
-    D                  [Histogram] [histogram mannen ...] [2015-12-07 14:32:55] [006b54b8ce76f482b86cd20c6480b526]
-    D                    [Histogram] [Histogram vrouwen...] [2015-12-07 14:33:46] [006b54b8ce76f482b86cd20c6480b526]
-    D                      [Histogram] [Histogram mannen ...] [2015-12-07 14:34:32] [006b54b8ce76f482b86cd20c6480b526]
-    D                          [Histogram] [Histogram vrouwen...] [2015-12-07 14:35:14] [7a1b228211171c106fd09cb69827bfa3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
64281
64023
63935
64387
64161
64011
63685
63522
63541
65070
65357
64281
64152
64043
63966
65040
64640
64179
63633
63327
63237
64793
64622
63615
63319
63261
62699
61956
62069
62179
62327
62526
63055
65277
65783
65353
65583
65950
66634
67836
67700
67463
67412
67308
67881
69652
69733
68891
68994
69021
69072
70283
70795
71111
70274
69220
69841
71275
71295
69073
68752

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285405&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285405&T=0

As an alternative you can also use a QR Code:  
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 time0 seconds
R Server'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[61000,62000[6150010.0163930.0163931.6e-05
[62000,63000[6250050.0819670.0983618.2e-05
[63000,64000[63500120.1967210.2950820.000197
[64000,65000[64500120.1967210.4918030.000197
[65000,66000[6550080.1311480.6229510.000131
[66000,67000[6650010.0163930.6393441.6e-05
[67000,68000[6750060.0983610.7377059.8e-05
[68000,69000[6850030.049180.7868854.9e-05
[69000,70000[6950070.1147540.9016390.000115
[70000,71000[7050030.049180.950824.9e-05
[71000,72000]7150030.0491814.9e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[61000,62000[ & 61500 & 1 & 0.016393 & 0.016393 & 1.6e-05 \tabularnewline
[62000,63000[ & 62500 & 5 & 0.081967 & 0.098361 & 8.2e-05 \tabularnewline
[63000,64000[ & 63500 & 12 & 0.196721 & 0.295082 & 0.000197 \tabularnewline
[64000,65000[ & 64500 & 12 & 0.196721 & 0.491803 & 0.000197 \tabularnewline
[65000,66000[ & 65500 & 8 & 0.131148 & 0.622951 & 0.000131 \tabularnewline
[66000,67000[ & 66500 & 1 & 0.016393 & 0.639344 & 1.6e-05 \tabularnewline
[67000,68000[ & 67500 & 6 & 0.098361 & 0.737705 & 9.8e-05 \tabularnewline
[68000,69000[ & 68500 & 3 & 0.04918 & 0.786885 & 4.9e-05 \tabularnewline
[69000,70000[ & 69500 & 7 & 0.114754 & 0.901639 & 0.000115 \tabularnewline
[70000,71000[ & 70500 & 3 & 0.04918 & 0.95082 & 4.9e-05 \tabularnewline
[71000,72000] & 71500 & 3 & 0.04918 & 1 & 4.9e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285405&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][61000,62000[[/C][C]61500[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]1.6e-05[/C][/ROW]
[ROW][C][62000,63000[[/C][C]62500[/C][C]5[/C][C]0.081967[/C][C]0.098361[/C][C]8.2e-05[/C][/ROW]
[ROW][C][63000,64000[[/C][C]63500[/C][C]12[/C][C]0.196721[/C][C]0.295082[/C][C]0.000197[/C][/ROW]
[ROW][C][64000,65000[[/C][C]64500[/C][C]12[/C][C]0.196721[/C][C]0.491803[/C][C]0.000197[/C][/ROW]
[ROW][C][65000,66000[[/C][C]65500[/C][C]8[/C][C]0.131148[/C][C]0.622951[/C][C]0.000131[/C][/ROW]
[ROW][C][66000,67000[[/C][C]66500[/C][C]1[/C][C]0.016393[/C][C]0.639344[/C][C]1.6e-05[/C][/ROW]
[ROW][C][67000,68000[[/C][C]67500[/C][C]6[/C][C]0.098361[/C][C]0.737705[/C][C]9.8e-05[/C][/ROW]
[ROW][C][68000,69000[[/C][C]68500[/C][C]3[/C][C]0.04918[/C][C]0.786885[/C][C]4.9e-05[/C][/ROW]
[ROW][C][69000,70000[[/C][C]69500[/C][C]7[/C][C]0.114754[/C][C]0.901639[/C][C]0.000115[/C][/ROW]
[ROW][C][70000,71000[[/C][C]70500[/C][C]3[/C][C]0.04918[/C][C]0.95082[/C][C]4.9e-05[/C][/ROW]
[ROW][C][71000,72000][/C][C]71500[/C][C]3[/C][C]0.04918[/C][C]1[/C][C]4.9e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285405&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285405&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[61000,62000[6150010.0163930.0163931.6e-05
[62000,63000[6250050.0819670.0983618.2e-05
[63000,64000[63500120.1967210.2950820.000197
[64000,65000[64500120.1967210.4918030.000197
[65000,66000[6550080.1311480.6229510.000131
[66000,67000[6650010.0163930.6393441.6e-05
[67000,68000[6750060.0983610.7377059.8e-05
[68000,69000[6850030.049180.7868854.9e-05
[69000,70000[6950070.1147540.9016390.000115
[70000,71000[7050030.049180.950824.9e-05
[71000,72000]7150030.0491814.9e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 80 ; par3 = 1e-08 ;
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')
}