FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 27 Jun 2013 12:23:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jun/27/t1372350330ui1jsiz6v2uqxhj.htm/, Retrieved Sun, 28 Apr 2024 03:24:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210765, Retrieved Sun, 28 Apr 2024 03:24:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Camp Stef
Estimated Impact184

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] [] [2013-06-27 16:11:26] [6decc077dded9d451dc0be9ee2a4b58b]
- RMPD    [Histogram] [] [2013-06-27 16:23:28] [941d89646656d1688f5e273fb31a8e6b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
69731
68504
67277
64823
89654
88427
69731
57316
58542
58542
59770
62357
54862
47354
41207
41207
64823
67277
48581
27431
38620
38620
47354
52396
51168
38620
44900
42434
63584
58542
38620
23738
37392
41207
44900
49808
39846
31246
34939
36166
68504
68504
49808
47354
54862
51168
61130
73546
76012
58542
53622
48581
82280
84746
78466
84746
83507
73546
84746
97162
102203
87200
77238
84746
117084
127046
124592
129499
128273
115858
137008
142049
149423
127046
118312
128273
152010
173160
168119
168119
170585
161971
184361
184361
180546
159384
163199
165665
181895
203045
188041
195550
189269
185587
214246
207965
199230
186815
199230
205511
213006
222967
213006
219154
211657
210431
241542
244129
234168
216700
231581
237850
245357
256546
245357
254092
250277
236622
265279
265279

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210765&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210765&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210765&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' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50000[25000240.20.24e-06
[50000,1e+05[75000390.3250.5256e-06
[1e+05,150000[125000130.1083330.6333332e-06
[150000,2e+05[175000200.1666670.83e-06
[2e+05,250000[225000190.1583330.9583333e-06
[250000,3e+05]27500050.04166711e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50000[ & 25000 & 24 & 0.2 & 0.2 & 4e-06 \tabularnewline
[50000,1e+05[ & 75000 & 39 & 0.325 & 0.525 & 6e-06 \tabularnewline
[1e+05,150000[ & 125000 & 13 & 0.108333 & 0.633333 & 2e-06 \tabularnewline
[150000,2e+05[ & 175000 & 20 & 0.166667 & 0.8 & 3e-06 \tabularnewline
[2e+05,250000[ & 225000 & 19 & 0.158333 & 0.958333 & 3e-06 \tabularnewline
[250000,3e+05] & 275000 & 5 & 0.041667 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210765&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][0,50000[[/C][C]25000[/C][C]24[/C][C]0.2[/C][C]0.2[/C][C]4e-06[/C][/ROW]
[ROW][C][50000,1e+05[[/C][C]75000[/C][C]39[/C][C]0.325[/C][C]0.525[/C][C]6e-06[/C][/ROW]
[ROW][C][1e+05,150000[[/C][C]125000[/C][C]13[/C][C]0.108333[/C][C]0.633333[/C][C]2e-06[/C][/ROW]
[ROW][C][150000,2e+05[[/C][C]175000[/C][C]20[/C][C]0.166667[/C][C]0.8[/C][C]3e-06[/C][/ROW]
[ROW][C][2e+05,250000[[/C][C]225000[/C][C]19[/C][C]0.158333[/C][C]0.958333[/C][C]3e-06[/C][/ROW]
[ROW][C][250000,3e+05][/C][C]275000[/C][C]5[/C][C]0.041667[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210765&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210765&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
[0,50000[25000240.20.24e-06
[50000,1e+05[75000390.3250.5256e-06
[1e+05,150000[125000130.1083330.6333332e-06
[150000,2e+05[175000200.1666670.83e-06
[2e+05,250000[225000190.1583330.9583333e-06
[250000,3e+05]27500050.04166711e-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')
}