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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 07 Oct 2010 16:22:23 +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/2010/Oct/07/t1286468594bfzn6xnolz8f1un.htm/, Retrieved Tue, 30 Apr 2024 04:55:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81889, Retrieved Tue, 30 Apr 2024 04:55:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact130

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [aantal gebouwen] [2010-09-30 15:28:03] [cdbe0c453eb9effe5ed0ab336cdc30fc]
- RMP     [Histogram] [frequentietabel a...] [2010-10-07 16:22:23] [49c40d716750d950b45a50638ed38982] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1552
2081
1500
1437
1470
1849
1387
1592
1590
1798
1935
1887
2027
2080
1556
1682
1785
1869
1781
2082
2571
1862
1938
1505
1767
1607
1578
1495
1615
1700
1337
1531
1623
1543
1640
1524
1429
1827
1603
1351
1267
1742
1384
1392
1649
1665
1526
1717
1391
1790
1472
1350
1704
1391
1190
1351
1160
1236
1444
1257
1193
1701
1428
1611
1431
1472
1240
1276
1467
1603
2014
2463
2510

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81889&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81889&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81889&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 time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1000,1200[110030.0410960.0410960.000205
[1200,1400[1300140.1917810.2328770.000959
[1400,1600[1500210.2876710.5205480.001438
[1600,1800[1700200.2739730.7945210.00137
[1800,2000[190070.095890.8904110.000479
[2000,2200[210050.0684930.9589040.000342
[2200,2400[2300000.9589040
[2400,2600]250030.04109610.000205

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1000,1200[ & 1100 & 3 & 0.041096 & 0.041096 & 0.000205 \tabularnewline
[1200,1400[ & 1300 & 14 & 0.191781 & 0.232877 & 0.000959 \tabularnewline
[1400,1600[ & 1500 & 21 & 0.287671 & 0.520548 & 0.001438 \tabularnewline
[1600,1800[ & 1700 & 20 & 0.273973 & 0.794521 & 0.00137 \tabularnewline
[1800,2000[ & 1900 & 7 & 0.09589 & 0.890411 & 0.000479 \tabularnewline
[2000,2200[ & 2100 & 5 & 0.068493 & 0.958904 & 0.000342 \tabularnewline
[2200,2400[ & 2300 & 0 & 0 & 0.958904 & 0 \tabularnewline
[2400,2600] & 2500 & 3 & 0.041096 & 1 & 0.000205 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81889&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][1000,1200[[/C][C]1100[/C][C]3[/C][C]0.041096[/C][C]0.041096[/C][C]0.000205[/C][/ROW]
[ROW][C][1200,1400[[/C][C]1300[/C][C]14[/C][C]0.191781[/C][C]0.232877[/C][C]0.000959[/C][/ROW]
[ROW][C][1400,1600[[/C][C]1500[/C][C]21[/C][C]0.287671[/C][C]0.520548[/C][C]0.001438[/C][/ROW]
[ROW][C][1600,1800[[/C][C]1700[/C][C]20[/C][C]0.273973[/C][C]0.794521[/C][C]0.00137[/C][/ROW]
[ROW][C][1800,2000[[/C][C]1900[/C][C]7[/C][C]0.09589[/C][C]0.890411[/C][C]0.000479[/C][/ROW]
[ROW][C][2000,2200[[/C][C]2100[/C][C]5[/C][C]0.068493[/C][C]0.958904[/C][C]0.000342[/C][/ROW]
[ROW][C][2200,2400[[/C][C]2300[/C][C]0[/C][C]0[/C][C]0.958904[/C][C]0[/C][/ROW]
[ROW][C][2400,2600][/C][C]2500[/C][C]3[/C][C]0.041096[/C][C]1[/C][C]0.000205[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81889&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81889&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
[1000,1200[110030.0410960.0410960.000205
[1200,1400[1300140.1917810.2328770.000959
[1400,1600[1500210.2876710.5205480.001438
[1600,1800[1700200.2739730.7945210.00137
[1800,2000[190070.095890.8904110.000479
[2000,2200[210050.0684930.9589040.000342
[2200,2400[2300000.9589040
[2400,2600]250030.04109610.000205


Figures (Output of Computation)

Input Parameters & R Code

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 {
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')
}