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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 computationSun, 21 Sep 2014 13:58:56 +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/21/t1411304458rzku0y1bc5mhr8x.htm/, Retrieved Fri, 10 May 2024 17:49:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236013, Retrieved Fri, 10 May 2024 17:49:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Verkoopcijfers aa...] [2014-09-21 12:58:56] [34904d4daa687a283c33410e9d0f3c21] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68184
50530
47221
41756
45633
48138
39486
39341
41117
41629
29722
7054
56676
34870
35117
30169
30936
35669
33228
27733
33666
35429
27438
8170
63410
38040
45389
37353
37024
50957
37994
36454
46080
43373
37395
10963
76058
50179
57452
47568
50050
50856
41992
39284
44521
43832
41153
17100
70487
43982
52169
40661
47725
76489
30251
33041
31570
27000
30129
18394
48081
32295
35890
30538
30089
35285
30666
28623
31504
36784
40659
39163

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236013&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236013&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236013&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10000[500020.0277780.0277783e-06
[10000,20000[1500030.0416670.0694444e-06
[20000,30000[2500050.0694440.1388897e-06
[30000,40000[35000300.4166670.5555564.2e-05
[40000,50000[45000190.2638890.8194442.6e-05
[50000,60000[5500080.1111110.9305561.1e-05
[60000,70000[6500020.0277780.9583333e-06
[70000,80000]7500030.04166714e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10000[ & 5000 & 2 & 0.027778 & 0.027778 & 3e-06 \tabularnewline
[10000,20000[ & 15000 & 3 & 0.041667 & 0.069444 & 4e-06 \tabularnewline
[20000,30000[ & 25000 & 5 & 0.069444 & 0.138889 & 7e-06 \tabularnewline
[30000,40000[ & 35000 & 30 & 0.416667 & 0.555556 & 4.2e-05 \tabularnewline
[40000,50000[ & 45000 & 19 & 0.263889 & 0.819444 & 2.6e-05 \tabularnewline
[50000,60000[ & 55000 & 8 & 0.111111 & 0.930556 & 1.1e-05 \tabularnewline
[60000,70000[ & 65000 & 2 & 0.027778 & 0.958333 & 3e-06 \tabularnewline
[70000,80000] & 75000 & 3 & 0.041667 & 1 & 4e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236013&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][0,10000[[/C][C]5000[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]3e-06[/C][/ROW]
[ROW][C][10000,20000[[/C][C]15000[/C][C]3[/C][C]0.041667[/C][C]0.069444[/C][C]4e-06[/C][/ROW]
[ROW][C][20000,30000[[/C][C]25000[/C][C]5[/C][C]0.069444[/C][C]0.138889[/C][C]7e-06[/C][/ROW]
[ROW][C][30000,40000[[/C][C]35000[/C][C]30[/C][C]0.416667[/C][C]0.555556[/C][C]4.2e-05[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]19[/C][C]0.263889[/C][C]0.819444[/C][C]2.6e-05[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]8[/C][C]0.111111[/C][C]0.930556[/C][C]1.1e-05[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]3e-06[/C][/ROW]
[ROW][C][70000,80000][/C][C]75000[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]4e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236013&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236013&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
[0,10000[500020.0277780.0277783e-06
[10000,20000[1500030.0416670.0694444e-06
[20000,30000[2500050.0694440.1388897e-06
[30000,40000[35000300.4166670.5555564.2e-05
[40000,50000[45000190.2638890.8194442.6e-05
[50000,60000[5500080.1111110.9305561.1e-05
[60000,70000[6500020.0277780.9583333e-06
[70000,80000]7500030.04166714e-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')
}