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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, 19 Feb 2009 04:21:03 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Feb/19/t1235042542q5d7ovo1fmkrctj.htm/, Retrieved Sat, 11 May 2024 21:43:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37973, Retrieved Sat, 11 May 2024 21:43:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram inschri...] [2009-02-19 11:21:03] [1f24ecf252e89ff3a946a11432983a6a] [Current]
-   P     [Histogram] [Histogram(2) insc...] [2009-02-19 11:38:48] [7d6e56eb39a91109289258e18f5c4e91]
- RMP     [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-19 11:48:01] [7d6e56eb39a91109289258e18f5c4e91]
- RMP     [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-19 11:48:01] [7d6e56eb39a91109289258e18f5c4e91]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37973&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37973&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5000,10000[750010.0136990.0136993e-06
[10000,15000[1250040.0547950.0684931.1e-05
[15000,20000[17500190.2602740.3287675.2e-05
[20000,25000[22500170.2328770.5616444.7e-05
[25000,30000[27500210.2876710.8493155.8e-05
[30000,35000[32500100.1369860.9863012.7e-05
[35000,40000]3750010.01369913e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5000,10000[ & 7500 & 1 & 0.013699 & 0.013699 & 3e-06 \tabularnewline
[10000,15000[ & 12500 & 4 & 0.054795 & 0.068493 & 1.1e-05 \tabularnewline
[15000,20000[ & 17500 & 19 & 0.260274 & 0.328767 & 5.2e-05 \tabularnewline
[20000,25000[ & 22500 & 17 & 0.232877 & 0.561644 & 4.7e-05 \tabularnewline
[25000,30000[ & 27500 & 21 & 0.287671 & 0.849315 & 5.8e-05 \tabularnewline
[30000,35000[ & 32500 & 10 & 0.136986 & 0.986301 & 2.7e-05 \tabularnewline
[35000,40000] & 37500 & 1 & 0.013699 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37973&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][5000,10000[[/C][C]7500[/C][C]1[/C][C]0.013699[/C][C]0.013699[/C][C]3e-06[/C][/ROW]
[ROW][C][10000,15000[[/C][C]12500[/C][C]4[/C][C]0.054795[/C][C]0.068493[/C][C]1.1e-05[/C][/ROW]
[ROW][C][15000,20000[[/C][C]17500[/C][C]19[/C][C]0.260274[/C][C]0.328767[/C][C]5.2e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]17[/C][C]0.232877[/C][C]0.561644[/C][C]4.7e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]21[/C][C]0.287671[/C][C]0.849315[/C][C]5.8e-05[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]10[/C][C]0.136986[/C][C]0.986301[/C][C]2.7e-05[/C][/ROW]
[ROW][C][35000,40000][/C][C]37500[/C][C]1[/C][C]0.013699[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37973&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
[5000,10000[750010.0136990.0136993e-06
[10000,15000[1250040.0547950.0684931.1e-05
[15000,20000[17500190.2602740.3287675.2e-05
[20000,25000[22500170.2328770.5616444.7e-05
[25000,30000[27500210.2876710.8493155.8e-05
[30000,35000[32500100.1369860.9863012.7e-05
[35000,40000]3750010.01369913e-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.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)
}
dev.off()
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')