Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 05 Mar 2009 00:16:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/05/t1236237415cty3pdf64deosvq.htm/, Retrieved Thu, 28 Mar 2024 12:30:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38523, Retrieved Thu, 28 Mar 2024 12:30:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Gemiddelde consum...] [2009-03-05 07:02:56] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [consumptieprijs r...] [2009-03-05 07:16:19] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
5.29
5.29
5.29
5.31
5.33
5.34
5.34
5.37
5.41
5.41
5.38
5.44
5.44
5.46
5.46
5.45
5.46
5.46
5.48
5.47
5.48
5.51
5.55
5.58
5.59
5.6
5.6
5.67
5.71
5.7
5.73
5.72
5.75
5.75
5.77
5.83
5.85
5.87
5.86
5.87
5.93
5.97
5.98
5.99
5.99
6.03
6.06
6.07
6.08
6.08
6.1
6.13
6.14
6.14
6.16
6.2
6.19
6.32
6.32
6.33
6.32
6.33
6.38
6.42
6.46
6.47
6.42
6.48
6.47
6.49
6.48
6.51
6.51
6.52
6.57
6.59
6.62
6.63
6.61
6.64




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38523&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38523&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38523&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5.2,5.4[5.390.11250.11250.5625
[5.4,5.6[5.5160.20.31251
[5.6,5.8[5.7100.1250.43750.625
[5.8,6[5.9100.1250.56250.625
[6,6.2[6.1110.13750.70.6875
[6.2,6.4[6.370.08750.78750.4375
[6.4,6.6[6.5130.16250.950.8125
[6.6,6.8]6.740.0510.25

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.2,5.4[ & 5.3 & 9 & 0.1125 & 0.1125 & 0.5625 \tabularnewline
[5.4,5.6[ & 5.5 & 16 & 0.2 & 0.3125 & 1 \tabularnewline
[5.6,5.8[ & 5.7 & 10 & 0.125 & 0.4375 & 0.625 \tabularnewline
[5.8,6[ & 5.9 & 10 & 0.125 & 0.5625 & 0.625 \tabularnewline
[6,6.2[ & 6.1 & 11 & 0.1375 & 0.7 & 0.6875 \tabularnewline
[6.2,6.4[ & 6.3 & 7 & 0.0875 & 0.7875 & 0.4375 \tabularnewline
[6.4,6.6[ & 6.5 & 13 & 0.1625 & 0.95 & 0.8125 \tabularnewline
[6.6,6.8] & 6.7 & 4 & 0.05 & 1 & 0.25 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38523&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][5.2,5.4[[/C][C]5.3[/C][C]9[/C][C]0.1125[/C][C]0.1125[/C][C]0.5625[/C][/ROW]
[ROW][C][5.4,5.6[[/C][C]5.5[/C][C]16[/C][C]0.2[/C][C]0.3125[/C][C]1[/C][/ROW]
[ROW][C][5.6,5.8[[/C][C]5.7[/C][C]10[/C][C]0.125[/C][C]0.4375[/C][C]0.625[/C][/ROW]
[ROW][C][5.8,6[[/C][C]5.9[/C][C]10[/C][C]0.125[/C][C]0.5625[/C][C]0.625[/C][/ROW]
[ROW][C][6,6.2[[/C][C]6.1[/C][C]11[/C][C]0.1375[/C][C]0.7[/C][C]0.6875[/C][/ROW]
[ROW][C][6.2,6.4[[/C][C]6.3[/C][C]7[/C][C]0.0875[/C][C]0.7875[/C][C]0.4375[/C][/ROW]
[ROW][C][6.4,6.6[[/C][C]6.5[/C][C]13[/C][C]0.1625[/C][C]0.95[/C][C]0.8125[/C][/ROW]
[ROW][C][6.6,6.8][/C][C]6.7[/C][C]4[/C][C]0.05[/C][C]1[/C][C]0.25[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38523&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38523&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
[5.2,5.4[5.390.11250.11250.5625
[5.4,5.6[5.5160.20.31251
[5.6,5.8[5.7100.1250.43750.625
[5.8,6[5.9100.1250.56250.625
[6,6.2[6.1110.13750.70.6875
[6.2,6.4[6.370.08750.78750.4375
[6.4,6.6[6.5130.16250.950.8125
[6.6,6.8]6.740.0510.25



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.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)
}
dev.off()
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')