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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 computationTue, 28 Sep 2010 13:59:20 +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/Sep/28/t1285682612iz681dglrftqjf8.htm/, Retrieved Sun, 28 Apr 2024 23:20:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79585, Retrieved Sun, 28 Apr 2024 23:20:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2010-09-28 13:59:20] [2a9374b6a827503db60f94b3ae42bf2a] [Current]
-         [Histogram] [Maandelijks verko...] [2010-10-01 07:13:56] [61c26263d46f9d3683295aa010aa2c77]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2834
4683
4120
3849
8435
12854
15883
10520
12562
5060
4520
2150
2905
4820
3950
4053
8700
13520
15400
11100
11950
4900
4633
2300
2945
3960
3900
3767
8820
11980
14085
11600
9814
4930
4360
2640
3050
5485
4366
4790
10100
14830
17930
13580
12490
6400
4980
4930
5856
5120
5100
5623
12035
19846
17030
15860
14890
8053
6080
5987
5682
4980
5450
6035
13240
18400
17689
16490
14062
9556
7555
4328

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79585&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79585&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79585&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2000,4000[3000120.1666670.1666678.3e-05
[4000,6000[5000240.3333330.50.000167
[6000,8000[700040.0555560.5555562.8e-05
[8000,10000[900060.0833330.6388894.2e-05
[10000,12000[1100060.0833330.7222224.2e-05
[12000,14000[1300070.0972220.8194444.9e-05
[14000,16000[1500070.0972220.9166674.9e-05
[16000,18000[1700040.0555560.9722222.8e-05
[18000,20000]1900020.02777811.4e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2000,4000[ & 3000 & 12 & 0.166667 & 0.166667 & 8.3e-05 \tabularnewline
[4000,6000[ & 5000 & 24 & 0.333333 & 0.5 & 0.000167 \tabularnewline
[6000,8000[ & 7000 & 4 & 0.055556 & 0.555556 & 2.8e-05 \tabularnewline
[8000,10000[ & 9000 & 6 & 0.083333 & 0.638889 & 4.2e-05 \tabularnewline
[10000,12000[ & 11000 & 6 & 0.083333 & 0.722222 & 4.2e-05 \tabularnewline
[12000,14000[ & 13000 & 7 & 0.097222 & 0.819444 & 4.9e-05 \tabularnewline
[14000,16000[ & 15000 & 7 & 0.097222 & 0.916667 & 4.9e-05 \tabularnewline
[16000,18000[ & 17000 & 4 & 0.055556 & 0.972222 & 2.8e-05 \tabularnewline
[18000,20000] & 19000 & 2 & 0.027778 & 1 & 1.4e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79585&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][2000,4000[[/C][C]3000[/C][C]12[/C][C]0.166667[/C][C]0.166667[/C][C]8.3e-05[/C][/ROW]
[ROW][C][4000,6000[[/C][C]5000[/C][C]24[/C][C]0.333333[/C][C]0.5[/C][C]0.000167[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]4[/C][C]0.055556[/C][C]0.555556[/C][C]2.8e-05[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]6[/C][C]0.083333[/C][C]0.638889[/C][C]4.2e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]6[/C][C]0.083333[/C][C]0.722222[/C][C]4.2e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]7[/C][C]0.097222[/C][C]0.819444[/C][C]4.9e-05[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]7[/C][C]0.097222[/C][C]0.916667[/C][C]4.9e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]4[/C][C]0.055556[/C][C]0.972222[/C][C]2.8e-05[/C][/ROW]
[ROW][C][18000,20000][/C][C]19000[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]1.4e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79585&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79585&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
[2000,4000[3000120.1666670.1666678.3e-05
[4000,6000[5000240.3333330.50.000167
[6000,8000[700040.0555560.5555562.8e-05
[8000,10000[900060.0833330.6388894.2e-05
[10000,12000[1100060.0833330.7222224.2e-05
[12000,14000[1300070.0972220.8194444.9e-05
[14000,16000[1500070.0972220.9166674.9e-05
[16000,18000[1700040.0555560.9722222.8e-05
[18000,20000]1900020.02777811.4e-05


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')
}