Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Module--
Title produced by softwareHistogram
Date of computationWed, 25 Sep 2013 06:12:37 -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/Sep/25/t1380103993h1dkmquit64pspc.htm/, Retrieved Fri, 03 May 2024 07:26:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211942, Retrieved Fri, 03 May 2024 07:26:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-24 17:03:50] [1a124a6b19599cbda26f629ce1a824f0]
-   PD  [Univariate Data Series] [] [2013-09-24 18:15:15] [1a124a6b19599cbda26f629ce1a824f0]
- RMPD    [Histogram] [] [2013-09-25 10:11:56] [1a124a6b19599cbda26f629ce1a824f0]
- RM          [Histogram] [] [2013-09-25 10:12:37] [6864a9b8bb386dbf93fa34bd3826a254] [Current]
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Dataseries X:
9.11
9.06
9.11
9.13
9.13
9.19
9.2
9.23
9.24
9.28
9.32
9.32
9.32
9.36
9.37
9.38
9.41
9.44
9.44
9.44
9.47
9.48
9.56
9.58
9.56
9.58
9.7
9.74
9.76
9.78
9.84
9.88
9.96
9.97
9.96
9.96
9.96
10.02
10.08
10.09
10.12
10.14
10.17
10.22
10.25
10.25
10.26
10.34
10.33
10.3
10.33
10.33
10.37
10.44
10.45
10.45
10.44
10.43
10.4
10.43
10.47
10.52
10.55
10.5
10.44
10.47
10.5
10.54
10.55
10.53
10.54
10.54
10.54
10.59
10.72
10.76
10.78
10.78
10.78
10.82
10.81
10.85
10.84
10.81




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211942&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]2 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=211942&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211942&T=0

As an alternative you can also use a 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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9,9.2[9.160.0714290.0714290.357143
[9.2,9.4[9.3100.1190480.1904760.595238
[9.4,9.6[9.5100.1190480.3095240.595238
[9.6,9.8[9.740.0476190.3571430.238095
[9.8,10[9.970.0833330.4404760.416667
[10,10.2[10.160.0714290.5119050.357143
[10.2,10.4[10.3100.1190480.6309520.595238
[10.4,10.6[10.5210.250.8809521.25
[10.6,10.8[10.750.0595240.9404760.297619
[10.8,11]10.950.05952410.297619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9,9.2[ & 9.1 & 6 & 0.071429 & 0.071429 & 0.357143 \tabularnewline
[9.2,9.4[ & 9.3 & 10 & 0.119048 & 0.190476 & 0.595238 \tabularnewline
[9.4,9.6[ & 9.5 & 10 & 0.119048 & 0.309524 & 0.595238 \tabularnewline
[9.6,9.8[ & 9.7 & 4 & 0.047619 & 0.357143 & 0.238095 \tabularnewline
[9.8,10[ & 9.9 & 7 & 0.083333 & 0.440476 & 0.416667 \tabularnewline
[10,10.2[ & 10.1 & 6 & 0.071429 & 0.511905 & 0.357143 \tabularnewline
[10.2,10.4[ & 10.3 & 10 & 0.119048 & 0.630952 & 0.595238 \tabularnewline
[10.4,10.6[ & 10.5 & 21 & 0.25 & 0.880952 & 1.25 \tabularnewline
[10.6,10.8[ & 10.7 & 5 & 0.059524 & 0.940476 & 0.297619 \tabularnewline
[10.8,11] & 10.9 & 5 & 0.059524 & 1 & 0.297619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211942&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][9,9.2[[/C][C]9.1[/C][C]6[/C][C]0.071429[/C][C]0.071429[/C][C]0.357143[/C][/ROW]
[ROW][C][9.2,9.4[[/C][C]9.3[/C][C]10[/C][C]0.119048[/C][C]0.190476[/C][C]0.595238[/C][/ROW]
[ROW][C][9.4,9.6[[/C][C]9.5[/C][C]10[/C][C]0.119048[/C][C]0.309524[/C][C]0.595238[/C][/ROW]
[ROW][C][9.6,9.8[[/C][C]9.7[/C][C]4[/C][C]0.047619[/C][C]0.357143[/C][C]0.238095[/C][/ROW]
[ROW][C][9.8,10[[/C][C]9.9[/C][C]7[/C][C]0.083333[/C][C]0.440476[/C][C]0.416667[/C][/ROW]
[ROW][C][10,10.2[[/C][C]10.1[/C][C]6[/C][C]0.071429[/C][C]0.511905[/C][C]0.357143[/C][/ROW]
[ROW][C][10.2,10.4[[/C][C]10.3[/C][C]10[/C][C]0.119048[/C][C]0.630952[/C][C]0.595238[/C][/ROW]
[ROW][C][10.4,10.6[[/C][C]10.5[/C][C]21[/C][C]0.25[/C][C]0.880952[/C][C]1.25[/C][/ROW]
[ROW][C][10.6,10.8[[/C][C]10.7[/C][C]5[/C][C]0.059524[/C][C]0.940476[/C][C]0.297619[/C][/ROW]
[ROW][C][10.8,11][/C][C]10.9[/C][C]5[/C][C]0.059524[/C][C]1[/C][C]0.297619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211942&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211942&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9,9.2[9.160.0714290.0714290.357143
[9.2,9.4[9.3100.1190480.1904760.595238
[9.4,9.6[9.5100.1190480.3095240.595238
[9.6,9.8[9.740.0476190.3571430.238095
[9.8,10[9.970.0833330.4404760.416667
[10,10.2[10.160.0714290.5119050.357143
[10.2,10.4[10.3100.1190480.6309520.595238
[10.4,10.6[10.5210.250.8809521.25
[10.6,10.8[10.750.0595240.9404760.297619
[10.8,11]10.950.05952410.297619



Parameters (Session):
par1 = 18 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 18 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}