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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, 12 Aug 2012 10:47:36 -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/2012/Aug/12/t1344783120wswutlg2d0vwo23.htm/, Retrieved Sun, 28 Apr 2024 16:46:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169250, Retrieved Sun, 28 Apr 2024 16:46:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Puyenbroeck Willem
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks 2 stap 2] [2012-08-12 14:47:36] [7e222b467d583207254cc4c0fb431523] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1200
1400
1210
1260
1320
1320
1310
1260
1340
1180
1330
1390
1130
1340
1140
1290
1260
1280
1330
1270
1300
1150
1410
1250
1030
1320
1160
1300
1190
1310
1290
1320
1300
1230
1330
1220
1010
1290
1170
1240
1260
1260
1310
1360
1250
1170
1360
1140
1030
1260
1210
1190
1230
1350
1300
1340
1270
1220
1400
1120
1000
1260
1260
1150
1240
1360
1350
1280
1320
1210
1370
1060
1040
1260
1210
1200
1200
1290
1400
1280
1280
1220
1350
1000
980
1240
1190
1200
1150
1270
1410
1420
1260
1300
1410
1000
950
1280
1330
1190
1170
1270
1340
1470
1270
1280
1430
980

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169250&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169250&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169250&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[950,1000[97530.0277780.0277780.000556
[1000,1050[102570.0648150.0925930.001296
[1050,1100[107510.0092590.1018520.000185
[1100,1150[112540.0370370.1388890.000741
[1150,1200[1175120.1111110.250.002222
[1200,1250[1225160.1481480.3981480.002963
[1250,1300[1275270.250.6481480.005
[1300,1350[1325210.1944440.8425930.003889
[1350,1400[137580.0740740.9166670.001481
[1400,1450[142580.0740740.9907410.001481
[1450,1500]147510.00925910.000185

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[950,1000[ & 975 & 3 & 0.027778 & 0.027778 & 0.000556 \tabularnewline
[1000,1050[ & 1025 & 7 & 0.064815 & 0.092593 & 0.001296 \tabularnewline
[1050,1100[ & 1075 & 1 & 0.009259 & 0.101852 & 0.000185 \tabularnewline
[1100,1150[ & 1125 & 4 & 0.037037 & 0.138889 & 0.000741 \tabularnewline
[1150,1200[ & 1175 & 12 & 0.111111 & 0.25 & 0.002222 \tabularnewline
[1200,1250[ & 1225 & 16 & 0.148148 & 0.398148 & 0.002963 \tabularnewline
[1250,1300[ & 1275 & 27 & 0.25 & 0.648148 & 0.005 \tabularnewline
[1300,1350[ & 1325 & 21 & 0.194444 & 0.842593 & 0.003889 \tabularnewline
[1350,1400[ & 1375 & 8 & 0.074074 & 0.916667 & 0.001481 \tabularnewline
[1400,1450[ & 1425 & 8 & 0.074074 & 0.990741 & 0.001481 \tabularnewline
[1450,1500] & 1475 & 1 & 0.009259 & 1 & 0.000185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169250&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][950,1000[[/C][C]975[/C][C]3[/C][C]0.027778[/C][C]0.027778[/C][C]0.000556[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]7[/C][C]0.064815[/C][C]0.092593[/C][C]0.001296[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]1[/C][C]0.009259[/C][C]0.101852[/C][C]0.000185[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]4[/C][C]0.037037[/C][C]0.138889[/C][C]0.000741[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]12[/C][C]0.111111[/C][C]0.25[/C][C]0.002222[/C][/ROW]
[ROW][C][1200,1250[[/C][C]1225[/C][C]16[/C][C]0.148148[/C][C]0.398148[/C][C]0.002963[/C][/ROW]
[ROW][C][1250,1300[[/C][C]1275[/C][C]27[/C][C]0.25[/C][C]0.648148[/C][C]0.005[/C][/ROW]
[ROW][C][1300,1350[[/C][C]1325[/C][C]21[/C][C]0.194444[/C][C]0.842593[/C][C]0.003889[/C][/ROW]
[ROW][C][1350,1400[[/C][C]1375[/C][C]8[/C][C]0.074074[/C][C]0.916667[/C][C]0.001481[/C][/ROW]
[ROW][C][1400,1450[[/C][C]1425[/C][C]8[/C][C]0.074074[/C][C]0.990741[/C][C]0.001481[/C][/ROW]
[ROW][C][1450,1500][/C][C]1475[/C][C]1[/C][C]0.009259[/C][C]1[/C][C]0.000185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169250&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169250&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
[950,1000[97530.0277780.0277780.000556
[1000,1050[102570.0648150.0925930.001296
[1050,1100[107510.0092590.1018520.000185
[1100,1150[112540.0370370.1388890.000741
[1150,1200[1175120.1111110.250.002222
[1200,1250[1225160.1481480.3981480.002963
[1250,1300[1275270.250.6481480.005
[1300,1350[1325210.1944440.8425930.003889
[1350,1400[137580.0740740.9166670.001481
[1400,1450[142580.0740740.9907410.001481
[1450,1500]147510.00925910.000185


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')
}