Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 28 Sep 2009 10:20:00 -0600
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/Sep/28/t1254154863gpep7872ipvug4p.htm/, Retrieved Thu, 25 Apr 2024 08:15:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43064, Retrieved Thu, 25 Apr 2024 08:15:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel g...] [2009-09-28 16:20:00] [5429fe6e3351c98316e03e842ad8f5e4] [Current]
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Dataseries X:
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,44
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,6
1,6
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,68
1,68
1,68
1,68
1,69
1,7
1,7
1,71
1,72
1,73
1,74
1,74
1,75
1,75
1,75
1,76
1,79
1,83
1,84
1,85
1,87
1,87
1,87
1,88
1,88
1,88
1,88
1,89
1,89
1,89
1,9
1,89




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43064&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43064&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43064&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 time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.35,1.4[1.375230.1742420.1742423.484848
[1.4,1.45[1.425200.1515150.3257583.030303
[1.45,1.5[1.475300.2272730.553034.545455
[1.5,1.55[1.525000.553030
[1.55,1.6[1.57560.0454550.5984850.909091
[1.6,1.65[1.625130.0984850.696971.969697
[1.65,1.7[1.675130.0984850.7954551.969697
[1.7,1.75[1.72570.053030.8484851.060606
[1.75,1.8[1.77550.0378790.8863640.757576
[1.8,1.85[1.82520.0151520.9015150.30303
[1.85,1.9]1.875130.09848511.969697

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.35,1.4[ & 1.375 & 23 & 0.174242 & 0.174242 & 3.484848 \tabularnewline
[1.4,1.45[ & 1.425 & 20 & 0.151515 & 0.325758 & 3.030303 \tabularnewline
[1.45,1.5[ & 1.475 & 30 & 0.227273 & 0.55303 & 4.545455 \tabularnewline
[1.5,1.55[ & 1.525 & 0 & 0 & 0.55303 & 0 \tabularnewline
[1.55,1.6[ & 1.575 & 6 & 0.045455 & 0.598485 & 0.909091 \tabularnewline
[1.6,1.65[ & 1.625 & 13 & 0.098485 & 0.69697 & 1.969697 \tabularnewline
[1.65,1.7[ & 1.675 & 13 & 0.098485 & 0.795455 & 1.969697 \tabularnewline
[1.7,1.75[ & 1.725 & 7 & 0.05303 & 0.848485 & 1.060606 \tabularnewline
[1.75,1.8[ & 1.775 & 5 & 0.037879 & 0.886364 & 0.757576 \tabularnewline
[1.8,1.85[ & 1.825 & 2 & 0.015152 & 0.901515 & 0.30303 \tabularnewline
[1.85,1.9] & 1.875 & 13 & 0.098485 & 1 & 1.969697 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43064&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][1.35,1.4[[/C][C]1.375[/C][C]23[/C][C]0.174242[/C][C]0.174242[/C][C]3.484848[/C][/ROW]
[ROW][C][1.4,1.45[[/C][C]1.425[/C][C]20[/C][C]0.151515[/C][C]0.325758[/C][C]3.030303[/C][/ROW]
[ROW][C][1.45,1.5[[/C][C]1.475[/C][C]30[/C][C]0.227273[/C][C]0.55303[/C][C]4.545455[/C][/ROW]
[ROW][C][1.5,1.55[[/C][C]1.525[/C][C]0[/C][C]0[/C][C]0.55303[/C][C]0[/C][/ROW]
[ROW][C][1.55,1.6[[/C][C]1.575[/C][C]6[/C][C]0.045455[/C][C]0.598485[/C][C]0.909091[/C][/ROW]
[ROW][C][1.6,1.65[[/C][C]1.625[/C][C]13[/C][C]0.098485[/C][C]0.69697[/C][C]1.969697[/C][/ROW]
[ROW][C][1.65,1.7[[/C][C]1.675[/C][C]13[/C][C]0.098485[/C][C]0.795455[/C][C]1.969697[/C][/ROW]
[ROW][C][1.7,1.75[[/C][C]1.725[/C][C]7[/C][C]0.05303[/C][C]0.848485[/C][C]1.060606[/C][/ROW]
[ROW][C][1.75,1.8[[/C][C]1.775[/C][C]5[/C][C]0.037879[/C][C]0.886364[/C][C]0.757576[/C][/ROW]
[ROW][C][1.8,1.85[[/C][C]1.825[/C][C]2[/C][C]0.015152[/C][C]0.901515[/C][C]0.30303[/C][/ROW]
[ROW][C][1.85,1.9][/C][C]1.875[/C][C]13[/C][C]0.098485[/C][C]1[/C][C]1.969697[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43064&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43064&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
[1.35,1.4[1.375230.1742420.1742423.484848
[1.4,1.45[1.425200.1515150.3257583.030303
[1.45,1.5[1.475300.2272730.553034.545455
[1.5,1.55[1.525000.553030
[1.55,1.6[1.57560.0454550.5984850.909091
[1.6,1.65[1.625130.0984850.696971.969697
[1.65,1.7[1.675130.0984850.7954551.969697
[1.7,1.75[1.72570.053030.8484851.060606
[1.75,1.8[1.77550.0378790.8863640.757576
[1.8,1.85[1.82520.0151520.9015150.30303
[1.85,1.9]1.875130.09848511.969697



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')