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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 computationMon, 14 Feb 2011 14:12:05 +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/2011/Feb/14/t12976928299l6ggbtntkecwju.htm/, Retrieved Tue, 30 Apr 2024 02:38:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118232, Retrieved Tue, 30 Apr 2024 02:38:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact228

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-02-14 14:12:05] [697c881a84403defd656157daf408edb] [Current]
- RMPD    [] [IbOmcDfoRj] [1970-01-01 00:00:00] [5d655880f1f644e24a31886d574cf6c6]
- RMPD    [] [mMyRykneLwuI] [1970-01-01 00:00:00] [e12e3513175b28e2355b3e4062eacf82]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12544
12264
13783
11214
11453
10883
10381
10348
10024
10805
10796
11907
12261
11377
12689
11474
10992
10764
12164
10409
10398
10349
10865
11630
12221
10884
12019
11021
10799
10423
10484
10450
9906
11049
11281
12485
12849
11380
12079
11366
11328
10444
10854
10434
10137
10992
10906
12367
14371
11695
11546
10922
10670
10254
10573
10239
10253
11176
10719
11817
12503
11510
12012
10941
11252
10662
11114
10415
10626
11411
10936
12513

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'Gwilym Jenkins' @ www.wessa.org

\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 & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118232&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]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118232&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118232&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'Gwilym Jenkins' @ www.wessa.org






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9500,10000]975010.0138890.0138892.8e-05
]10000,10500]10250160.2222220.2361110.000444
]10500,11000]10750190.2638890.50.000528
]11000,11500]11250140.1944440.6944440.000389
]11500,12000]1175060.0833330.7777780.000167
]12000,12500]1225090.1250.9027780.00025
]12500,13000]1275050.0694440.9722220.000139
]13000,13500]13250000.9722220
]13500,14000]1375010.0138890.9861112.8e-05
]14000,14500]1425010.01388912.8e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9500,10000] & 9750 & 1 & 0.013889 & 0.013889 & 2.8e-05 \tabularnewline
]10000,10500] & 10250 & 16 & 0.222222 & 0.236111 & 0.000444 \tabularnewline
]10500,11000] & 10750 & 19 & 0.263889 & 0.5 & 0.000528 \tabularnewline
]11000,11500] & 11250 & 14 & 0.194444 & 0.694444 & 0.000389 \tabularnewline
]11500,12000] & 11750 & 6 & 0.083333 & 0.777778 & 0.000167 \tabularnewline
]12000,12500] & 12250 & 9 & 0.125 & 0.902778 & 0.00025 \tabularnewline
]12500,13000] & 12750 & 5 & 0.069444 & 0.972222 & 0.000139 \tabularnewline
]13000,13500] & 13250 & 0 & 0 & 0.972222 & 0 \tabularnewline
]13500,14000] & 13750 & 1 & 0.013889 & 0.986111 & 2.8e-05 \tabularnewline
]14000,14500] & 14250 & 1 & 0.013889 & 1 & 2.8e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118232&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][9500,10000][/C][C]9750[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]2.8e-05[/C][/ROW]
[ROW][C]]10000,10500][/C][C]10250[/C][C]16[/C][C]0.222222[/C][C]0.236111[/C][C]0.000444[/C][/ROW]
[ROW][C]]10500,11000][/C][C]10750[/C][C]19[/C][C]0.263889[/C][C]0.5[/C][C]0.000528[/C][/ROW]
[ROW][C]]11000,11500][/C][C]11250[/C][C]14[/C][C]0.194444[/C][C]0.694444[/C][C]0.000389[/C][/ROW]
[ROW][C]]11500,12000][/C][C]11750[/C][C]6[/C][C]0.083333[/C][C]0.777778[/C][C]0.000167[/C][/ROW]
[ROW][C]]12000,12500][/C][C]12250[/C][C]9[/C][C]0.125[/C][C]0.902778[/C][C]0.00025[/C][/ROW]
[ROW][C]]12500,13000][/C][C]12750[/C][C]5[/C][C]0.069444[/C][C]0.972222[/C][C]0.000139[/C][/ROW]
[ROW][C]]13000,13500][/C][C]13250[/C][C]0[/C][C]0[/C][C]0.972222[/C][C]0[/C][/ROW]
[ROW][C]]13500,14000][/C][C]13750[/C][C]1[/C][C]0.013889[/C][C]0.986111[/C][C]2.8e-05[/C][/ROW]
[ROW][C]]14000,14500][/C][C]14250[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]2.8e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118232&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118232&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
[9500,10000]975010.0138890.0138892.8e-05
]10000,10500]10250160.2222220.2361110.000444
]10500,11000]10750190.2638890.50.000528
]11000,11500]11250140.1944440.6944440.000389
]11500,12000]1175060.0833330.7777780.000167
]12000,12500]1225090.1250.9027780.00025
]12500,13000]1275050.0694440.9722220.000139
]13000,13500]13250000.9722220
]13500,14000]1375010.0138890.9861112.8e-05
]14000,14500]1425010.01388912.8e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = blue ; par3 = TRUE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = blue ; par3 = TRUE ; 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')
}