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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 computationSat, 06 Feb 2016 21:52:31 +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/2016/Feb/06/t1454795598nxw9sn9tno4z9z4.htm/, Retrieved Sun, 28 Apr 2024 13:12:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=291910, Retrieved Sun, 28 Apr 2024 13:12:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-02-06 21:52:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
 303 506 
 303 711 
 303 907 
 304 117 
 304 323 
 304 556 
 304 798 
 305 045 
 305 309 
 305 554 
 305 786 
 306 004 
 306 208 
 306 402 
 306 588 
 306 787 
 306 984 
 307 206 
 307 439 
 307 685 
 307 946 
 308 189 
 308 418 
 308 633 
 308 833 
 309 027 
 309 212 
 309 191 
 309 376 
 309 562 
 309 767 
 309 989 
 310 218 
 310 451 
 310 657 
 310 853 
 311 042 
 311 205 
 311 367 
 311 548 
 311 729 
 311 923 
 312 139 
 312 355 
 312 587 
 312 810 
 313 003 
 313 191 
 313 373 
 313 537 
 313 705 
 313 881 
 314 052 
 314 247 
 314 449 
 314 673 
 314 909 
 315 129 
 315 341 
 315 532 
 315 701 
 315 869 
 316 041 
 316 220 
 316 395 
 316 594 
 316 799 
 317 019 
 317 253 
 317 470 
 317 679 
 317 867 
 318 032 
 318 200 
 318 373 
 318 552 
 318 728 
 318 927 
 319 133 
 319 354 
 319 588 
 319 804 
 320 013 
 320 201 
 320 367 
 320 534 
 320 707 
 320 887 
 321 062 
 321 262 
 321 467 
 321 688 
 321 922 
 322 139 
 322 348 
 322 536

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=291910&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=291910&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=291910&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[302000,304000[30300030.031250.031251.6e-05
[304000,306000[30500080.0833330.1145834.2e-05
[306000,308000[307000100.1041670.218755.2e-05
[308000,310000[309000110.1145830.3333335.7e-05
[310000,312000[311000100.1041670.43755.2e-05
[312000,314000[313000100.1041670.5416675.2e-05
[314000,316000[315000100.1041670.6458335.2e-05
[316000,318000[317000100.1041670.755.2e-05
[318000,320000[319000100.1041670.8541675.2e-05
[320000,322000[321000110.1145830.968755.7e-05
[322000,324000]32300030.0312511.6e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[302000,304000[ & 303000 & 3 & 0.03125 & 0.03125 & 1.6e-05 \tabularnewline
[304000,306000[ & 305000 & 8 & 0.083333 & 0.114583 & 4.2e-05 \tabularnewline
[306000,308000[ & 307000 & 10 & 0.104167 & 0.21875 & 5.2e-05 \tabularnewline
[308000,310000[ & 309000 & 11 & 0.114583 & 0.333333 & 5.7e-05 \tabularnewline
[310000,312000[ & 311000 & 10 & 0.104167 & 0.4375 & 5.2e-05 \tabularnewline
[312000,314000[ & 313000 & 10 & 0.104167 & 0.541667 & 5.2e-05 \tabularnewline
[314000,316000[ & 315000 & 10 & 0.104167 & 0.645833 & 5.2e-05 \tabularnewline
[316000,318000[ & 317000 & 10 & 0.104167 & 0.75 & 5.2e-05 \tabularnewline
[318000,320000[ & 319000 & 10 & 0.104167 & 0.854167 & 5.2e-05 \tabularnewline
[320000,322000[ & 321000 & 11 & 0.114583 & 0.96875 & 5.7e-05 \tabularnewline
[322000,324000] & 323000 & 3 & 0.03125 & 1 & 1.6e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=291910&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][302000,304000[[/C][C]303000[/C][C]3[/C][C]0.03125[/C][C]0.03125[/C][C]1.6e-05[/C][/ROW]
[ROW][C][304000,306000[[/C][C]305000[/C][C]8[/C][C]0.083333[/C][C]0.114583[/C][C]4.2e-05[/C][/ROW]
[ROW][C][306000,308000[[/C][C]307000[/C][C]10[/C][C]0.104167[/C][C]0.21875[/C][C]5.2e-05[/C][/ROW]
[ROW][C][308000,310000[[/C][C]309000[/C][C]11[/C][C]0.114583[/C][C]0.333333[/C][C]5.7e-05[/C][/ROW]
[ROW][C][310000,312000[[/C][C]311000[/C][C]10[/C][C]0.104167[/C][C]0.4375[/C][C]5.2e-05[/C][/ROW]
[ROW][C][312000,314000[[/C][C]313000[/C][C]10[/C][C]0.104167[/C][C]0.541667[/C][C]5.2e-05[/C][/ROW]
[ROW][C][314000,316000[[/C][C]315000[/C][C]10[/C][C]0.104167[/C][C]0.645833[/C][C]5.2e-05[/C][/ROW]
[ROW][C][316000,318000[[/C][C]317000[/C][C]10[/C][C]0.104167[/C][C]0.75[/C][C]5.2e-05[/C][/ROW]
[ROW][C][318000,320000[[/C][C]319000[/C][C]10[/C][C]0.104167[/C][C]0.854167[/C][C]5.2e-05[/C][/ROW]
[ROW][C][320000,322000[[/C][C]321000[/C][C]11[/C][C]0.114583[/C][C]0.96875[/C][C]5.7e-05[/C][/ROW]
[ROW][C][322000,324000][/C][C]323000[/C][C]3[/C][C]0.03125[/C][C]1[/C][C]1.6e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=291910&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=291910&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
[302000,304000[30300030.031250.031251.6e-05
[304000,306000[30500080.0833330.1145834.2e-05
[306000,308000[307000100.1041670.218755.2e-05
[308000,310000[309000110.1145830.3333335.7e-05
[310000,312000[311000100.1041670.43755.2e-05
[312000,314000[313000100.1041670.5416675.2e-05
[314000,316000[315000100.1041670.6458335.2e-05
[316000,318000[317000100.1041670.755.2e-05
[318000,320000[319000100.1041670.8541675.2e-05
[320000,322000[321000110.1145830.968755.7e-05
[322000,324000]32300030.0312511.6e-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 {
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')
}