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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 07 Dec 2015 14:32:55 +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/2015/Dec/07/t1449498784shi9auyqok3kje2.htm/, Retrieved Thu, 16 May 2024 13:05:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285402, Retrieved Thu, 16 May 2024 13:05:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [boxplot] [2015-12-07 13:57:43] [006b54b8ce76f482b86cd20c6480b526]
-       [Notched Boxplots] [boxplot] [2015-12-07 14:04:56] [006b54b8ce76f482b86cd20c6480b526]
- R PD    [Notched Boxplots] [Boxplot 25-50] [2015-12-07 14:11:12] [006b54b8ce76f482b86cd20c6480b526]
-    D      [Notched Boxplots] [Boxplot ouder 50] [2015-12-07 14:12:43] [006b54b8ce76f482b86cd20c6480b526]
- R  D        [Notched Boxplots] [] [2015-12-07 14:21:26] [006b54b8ce76f482b86cd20c6480b526]
- RM D          [Histogram] [Histogram totaal ...] [2015-12-07 14:21:55] [006b54b8ce76f482b86cd20c6480b526]
-    D            [Histogram] [Histogram totaal ...] [2015-12-07 14:22:55] [006b54b8ce76f482b86cd20c6480b526]
-    D              [Histogram] [Histogram mannen ...] [2015-12-07 14:30:30] [006b54b8ce76f482b86cd20c6480b526]
-    D                [Histogram] [Histogram vrouwen...] [2015-12-07 14:31:49] [006b54b8ce76f482b86cd20c6480b526]
-    D                    [Histogram] [histogram mannen ...] [2015-12-07 14:32:55] [7a1b228211171c106fd09cb69827bfa3] [Current]
-    D                      [Histogram] [Histogram vrouwen...] [2015-12-07 14:33:46] [006b54b8ce76f482b86cd20c6480b526]
-    D                        [Histogram] [Histogram mannen ...] [2015-12-07 14:34:32] [006b54b8ce76f482b86cd20c6480b526]
-    D                          [Histogram] [Histogram vrouwen...] [2015-12-07 14:35:14] [006b54b8ce76f482b86cd20c6480b526]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
161193
157645
161694
163411
161834
159511
156359
154223
151497
160607
159672
155601
154668
153960
157307
165218
165616
162212
159787
157454
156485
165887
166836
163541
163973
164805
167521
174347
173374
172198
171055
168385
167281
177670
177280
174846
174476
174595
178392
185345
183293
181081
177795
173552
170734
179293
178659
175894
174815
173506
175376
179372
177688
175480
169705
164951
163405
169431
168389
164009
162245

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=285402&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=285402&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285402&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
[150000,155000[15250040.0655740.0655741.3e-05
[155000,160000[15750090.1475410.2131153e-05
[160000,165000[162500130.2131150.426234.3e-05
[165000,170000[167500100.1639340.5901643.3e-05
[170000,175000[172500110.1803280.7704923.6e-05
[175000,180000[177500110.1803280.950823.6e-05
[180000,185000[18250020.0327870.9836077e-06
[185000,190000]18750010.01639313e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[150000,155000[ & 152500 & 4 & 0.065574 & 0.065574 & 1.3e-05 \tabularnewline
[155000,160000[ & 157500 & 9 & 0.147541 & 0.213115 & 3e-05 \tabularnewline
[160000,165000[ & 162500 & 13 & 0.213115 & 0.42623 & 4.3e-05 \tabularnewline
[165000,170000[ & 167500 & 10 & 0.163934 & 0.590164 & 3.3e-05 \tabularnewline
[170000,175000[ & 172500 & 11 & 0.180328 & 0.770492 & 3.6e-05 \tabularnewline
[175000,180000[ & 177500 & 11 & 0.180328 & 0.95082 & 3.6e-05 \tabularnewline
[180000,185000[ & 182500 & 2 & 0.032787 & 0.983607 & 7e-06 \tabularnewline
[185000,190000] & 187500 & 1 & 0.016393 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285402&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][150000,155000[[/C][C]152500[/C][C]4[/C][C]0.065574[/C][C]0.065574[/C][C]1.3e-05[/C][/ROW]
[ROW][C][155000,160000[[/C][C]157500[/C][C]9[/C][C]0.147541[/C][C]0.213115[/C][C]3e-05[/C][/ROW]
[ROW][C][160000,165000[[/C][C]162500[/C][C]13[/C][C]0.213115[/C][C]0.42623[/C][C]4.3e-05[/C][/ROW]
[ROW][C][165000,170000[[/C][C]167500[/C][C]10[/C][C]0.163934[/C][C]0.590164[/C][C]3.3e-05[/C][/ROW]
[ROW][C][170000,175000[[/C][C]172500[/C][C]11[/C][C]0.180328[/C][C]0.770492[/C][C]3.6e-05[/C][/ROW]
[ROW][C][175000,180000[[/C][C]177500[/C][C]11[/C][C]0.180328[/C][C]0.95082[/C][C]3.6e-05[/C][/ROW]
[ROW][C][180000,185000[[/C][C]182500[/C][C]2[/C][C]0.032787[/C][C]0.983607[/C][C]7e-06[/C][/ROW]
[ROW][C][185000,190000][/C][C]187500[/C][C]1[/C][C]0.016393[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285402&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285402&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
[150000,155000[15250040.0655740.0655741.3e-05
[155000,160000[15750090.1475410.2131153e-05
[160000,165000[162500130.2131150.426234.3e-05
[165000,170000[167500100.1639340.5901643.3e-05
[170000,175000[172500110.1803280.7704923.6e-05
[175000,180000[177500110.1803280.950823.6e-05
[180000,185000[18250020.0327870.9836077e-06
[185000,190000]18750010.01639313e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 80 ; par3 = 1e-08 ;
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 {
barplot(mytab <- sort(table(x),T),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')
}