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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 computationSat, 27 Sep 2014 13:12:13 +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/2014/Sep/27/t1411820334ghdpwxh62kdsx7l.htm/, Retrieved Fri, 10 May 2024 01:31:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236511, Retrieved Fri, 10 May 2024 01:31:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [immigratie per maand] [2014-09-21 15:44:33] [2983349011a77ea63cc9abfad197e1e9]
- RMP     [Histogram] [] [2014-09-27 12:12:13] [b14d23c6a1d7f8e7693f95bb395763d5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9313
8648
8257
7045
8044
8644
10685
13270
14779
11874
9360
6900
116819
11236
10954
9580
10337
8961
10372
12782
15119
19940
13957
10849
9429
143516
11816
11329
11334
9898
8961
10783
13149
16244
20067
13601
10573
8623
146378
10962
11911
11677
9679
9116
11394
13240
18983
21545
14360
11839
9726
154432
12347
12624
11918
10028
10228
11026
13878
22165
23533
13445
12164
9606
162962
12177
13142
11210
9485
10082
10680
13579
21709
22205
14687
11222
8196
158374
12794
12627
11080
10425
10865
10771
14771
20993
23882
59646
14825
11648
10091
36564
164772

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'Sir Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236511&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236511&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236511&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20000[10000760.8172040.8172044.1e-05
[20000,40000[3000090.0967740.9139785e-06
[40000,60000[5000010.0107530.9247311e-06
[60000,80000[70000000.9247310
[80000,1e+05[90000000.9247310
[1e+05,120000[11000010.0107530.9354841e-06
[120000,140000[130000000.9354840
[140000,160000[15000040.0430110.9784952e-06
[160000,180000]17000020.02150511e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,20000[ & 10000 & 76 & 0.817204 & 0.817204 & 4.1e-05 \tabularnewline
[20000,40000[ & 30000 & 9 & 0.096774 & 0.913978 & 5e-06 \tabularnewline
[40000,60000[ & 50000 & 1 & 0.010753 & 0.924731 & 1e-06 \tabularnewline
[60000,80000[ & 70000 & 0 & 0 & 0.924731 & 0 \tabularnewline
[80000,1e+05[ & 90000 & 0 & 0 & 0.924731 & 0 \tabularnewline
[1e+05,120000[ & 110000 & 1 & 0.010753 & 0.935484 & 1e-06 \tabularnewline
[120000,140000[ & 130000 & 0 & 0 & 0.935484 & 0 \tabularnewline
[140000,160000[ & 150000 & 4 & 0.043011 & 0.978495 & 2e-06 \tabularnewline
[160000,180000] & 170000 & 2 & 0.021505 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236511&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][0,20000[[/C][C]10000[/C][C]76[/C][C]0.817204[/C][C]0.817204[/C][C]4.1e-05[/C][/ROW]
[ROW][C][20000,40000[[/C][C]30000[/C][C]9[/C][C]0.096774[/C][C]0.913978[/C][C]5e-06[/C][/ROW]
[ROW][C][40000,60000[[/C][C]50000[/C][C]1[/C][C]0.010753[/C][C]0.924731[/C][C]1e-06[/C][/ROW]
[ROW][C][60000,80000[[/C][C]70000[/C][C]0[/C][C]0[/C][C]0.924731[/C][C]0[/C][/ROW]
[ROW][C][80000,1e+05[[/C][C]90000[/C][C]0[/C][C]0[/C][C]0.924731[/C][C]0[/C][/ROW]
[ROW][C][1e+05,120000[[/C][C]110000[/C][C]1[/C][C]0.010753[/C][C]0.935484[/C][C]1e-06[/C][/ROW]
[ROW][C][120000,140000[[/C][C]130000[/C][C]0[/C][C]0[/C][C]0.935484[/C][C]0[/C][/ROW]
[ROW][C][140000,160000[[/C][C]150000[/C][C]4[/C][C]0.043011[/C][C]0.978495[/C][C]2e-06[/C][/ROW]
[ROW][C][160000,180000][/C][C]170000[/C][C]2[/C][C]0.021505[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236511&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236511&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
[0,20000[10000760.8172040.8172044.1e-05
[20000,40000[3000090.0967740.9139785e-06
[40000,60000[5000010.0107530.9247311e-06
[60000,80000[70000000.9247310
[80000,1e+05[90000000.9247310
[1e+05,120000[11000010.0107530.9354841e-06
[120000,140000[130000000.9354840
[140000,160000[15000040.0430110.9784952e-06
[160000,180000]17000020.02150511e-06


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')
}