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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 computationMon, 01 Oct 2012 09:14:22 -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/Oct/01/t1349097296enwa2ez4xdsutno.htm/, Retrieved Thu, 02 May 2024 16:05:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170721, Retrieved Thu, 02 May 2024 16:05:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-10-01 07:23:44] [936e698dc896c9d9232fac0e3b64582f]
- RMPD  [Univariate Data Series] [] [2012-10-01 12:28:07] [936e698dc896c9d9232fac0e3b64582f]
-   P     [Univariate Data Series] [] [2012-10-01 12:36:37] [936e698dc896c9d9232fac0e3b64582f]
- RMPD        [Histogram] [] [2012-10-01 13:14:22] [62859712c843b354ac43f7004f4dfb59] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.25
2.25
2.45
2.5
2.5
2.64
2.75
2.93
3
3.17
3.25
3.39
3.5
3.5
3.65
3.75
3.75
3.9
4
4
4
4
4
4
4
4
4
4
4
4
4.18
4.25
4.25
3.97
3.42
2.75
2.31
2
1.66
1.31
1.09
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1.14
1.25
1.25
1.4
1.5
1.5
1.5
1.32
1.11

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=170721&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=170721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170721&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
[1,1.2[1.1250.3472220.3472221.736111
[1.2,1.4[1.340.0555560.4027780.277778
[1.4,1.6[1.540.0555560.4583330.277778
[1.6,1.8[1.710.0138890.4722220.069444
[1.8,2[1.9000.4722220
[2,2.2[2.110.0138890.4861110.069444
[2.2,2.4[2.330.0416670.5277780.208333
[2.4,2.6[2.530.0416670.5694440.208333
[2.6,2.8[2.730.0416670.6111110.208333
[2.8,3[2.910.0138890.6250.069444
[3,3.2[3.120.0277780.6527780.138889
[3.2,3.4[3.320.0277780.6805560.138889
[3.4,3.6[3.530.0416670.7222220.208333
[3.6,3.8[3.730.0416670.7638890.208333
[3.8,4[3.920.0277780.7916670.138889
[4,4.2[4.1130.1805560.9722220.902778
[4.2,4.4]4.320.02777810.138889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.2[ & 1.1 & 25 & 0.347222 & 0.347222 & 1.736111 \tabularnewline
[1.2,1.4[ & 1.3 & 4 & 0.055556 & 0.402778 & 0.277778 \tabularnewline
[1.4,1.6[ & 1.5 & 4 & 0.055556 & 0.458333 & 0.277778 \tabularnewline
[1.6,1.8[ & 1.7 & 1 & 0.013889 & 0.472222 & 0.069444 \tabularnewline
[1.8,2[ & 1.9 & 0 & 0 & 0.472222 & 0 \tabularnewline
[2,2.2[ & 2.1 & 1 & 0.013889 & 0.486111 & 0.069444 \tabularnewline
[2.2,2.4[ & 2.3 & 3 & 0.041667 & 0.527778 & 0.208333 \tabularnewline
[2.4,2.6[ & 2.5 & 3 & 0.041667 & 0.569444 & 0.208333 \tabularnewline
[2.6,2.8[ & 2.7 & 3 & 0.041667 & 0.611111 & 0.208333 \tabularnewline
[2.8,3[ & 2.9 & 1 & 0.013889 & 0.625 & 0.069444 \tabularnewline
[3,3.2[ & 3.1 & 2 & 0.027778 & 0.652778 & 0.138889 \tabularnewline
[3.2,3.4[ & 3.3 & 2 & 0.027778 & 0.680556 & 0.138889 \tabularnewline
[3.4,3.6[ & 3.5 & 3 & 0.041667 & 0.722222 & 0.208333 \tabularnewline
[3.6,3.8[ & 3.7 & 3 & 0.041667 & 0.763889 & 0.208333 \tabularnewline
[3.8,4[ & 3.9 & 2 & 0.027778 & 0.791667 & 0.138889 \tabularnewline
[4,4.2[ & 4.1 & 13 & 0.180556 & 0.972222 & 0.902778 \tabularnewline
[4.2,4.4] & 4.3 & 2 & 0.027778 & 1 & 0.138889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170721&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][1,1.2[[/C][C]1.1[/C][C]25[/C][C]0.347222[/C][C]0.347222[/C][C]1.736111[/C][/ROW]
[ROW][C][1.2,1.4[[/C][C]1.3[/C][C]4[/C][C]0.055556[/C][C]0.402778[/C][C]0.277778[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]4[/C][C]0.055556[/C][C]0.458333[/C][C]0.277778[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]1[/C][C]0.013889[/C][C]0.472222[/C][C]0.069444[/C][/ROW]
[ROW][C][1.8,2[[/C][C]1.9[/C][C]0[/C][C]0[/C][C]0.472222[/C][C]0[/C][/ROW]
[ROW][C][2,2.2[[/C][C]2.1[/C][C]1[/C][C]0.013889[/C][C]0.486111[/C][C]0.069444[/C][/ROW]
[ROW][C][2.2,2.4[[/C][C]2.3[/C][C]3[/C][C]0.041667[/C][C]0.527778[/C][C]0.208333[/C][/ROW]
[ROW][C][2.4,2.6[[/C][C]2.5[/C][C]3[/C][C]0.041667[/C][C]0.569444[/C][C]0.208333[/C][/ROW]
[ROW][C][2.6,2.8[[/C][C]2.7[/C][C]3[/C][C]0.041667[/C][C]0.611111[/C][C]0.208333[/C][/ROW]
[ROW][C][2.8,3[[/C][C]2.9[/C][C]1[/C][C]0.013889[/C][C]0.625[/C][C]0.069444[/C][/ROW]
[ROW][C][3,3.2[[/C][C]3.1[/C][C]2[/C][C]0.027778[/C][C]0.652778[/C][C]0.138889[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]2[/C][C]0.027778[/C][C]0.680556[/C][C]0.138889[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]3[/C][C]0.041667[/C][C]0.722222[/C][C]0.208333[/C][/ROW]
[ROW][C][3.6,3.8[[/C][C]3.7[/C][C]3[/C][C]0.041667[/C][C]0.763889[/C][C]0.208333[/C][/ROW]
[ROW][C][3.8,4[[/C][C]3.9[/C][C]2[/C][C]0.027778[/C][C]0.791667[/C][C]0.138889[/C][/ROW]
[ROW][C][4,4.2[[/C][C]4.1[/C][C]13[/C][C]0.180556[/C][C]0.972222[/C][C]0.902778[/C][/ROW]
[ROW][C][4.2,4.4][/C][C]4.3[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.138889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170721&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
[1,1.2[1.1250.3472220.3472221.736111
[1.2,1.4[1.340.0555560.4027780.277778
[1.4,1.6[1.540.0555560.4583330.277778
[1.6,1.8[1.710.0138890.4722220.069444
[1.8,2[1.9000.4722220
[2,2.2[2.110.0138890.4861110.069444
[2.2,2.4[2.330.0416670.5277780.208333
[2.4,2.6[2.530.0416670.5694440.208333
[2.6,2.8[2.730.0416670.6111110.208333
[2.8,3[2.910.0138890.6250.069444
[3,3.2[3.120.0277780.6527780.138889
[3.2,3.4[3.320.0277780.6805560.138889
[3.4,3.6[3.530.0416670.7222220.208333
[3.6,3.8[3.730.0416670.7638890.208333
[3.8,4[3.920.0277780.7916670.138889
[4,4.2[4.1130.1805560.9722220.902778
[4.2,4.4]4.320.02777810.138889


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')
}