Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 02 Mar 2009 16:04:26 -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/03/t123603514562pfqxoqtnjf2o2.htm/, Retrieved Thu, 06 Oct 2022 23:09:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38444, Retrieved Thu, 06 Oct 2022 23:09:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2009-02-10 19:11:03] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [Frequentietabel k...] [2009-03-02 23:04:26] [b5b38cb8cda4101c154c09cb859ab89a] [Current]
- RMP       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-03-02 23:10:45] [3277f4fd1367f73c9bc433502ffbb1d3]
- RMP       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-03-02 23:10:45] [3277f4fd1367f73c9bc433502ffbb1d3]
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Dataseries X:
1.3239
1.3449
1.2732
1.3322
1.4369
1.4975
1.577
1.5553
1.5557
1.575
1.5527
1.4748
1.4718
1.457
1.4684
1.4227
1.3896
1.3622
1.3716
1.3419
1.3511
1.3516
1.3242
1.3074
1.2999
1.3213
1.2881
1.2611
1.2727
1.2811
1.2684
1.265
1.277
1.2271
1.202
1.1938
1.2103
1.1856
1.1786
1.2015
1.2256
1.2292
1.2037
1.2165
1.2694
1.2938
1.3201
1.3014
1.3119
1.3408
1.2991
1.249
1.2218
1.2176
1.2266
1.2138
1.2007
1.1985
1.2262
1.2646
1.2613
1.2286
1.1702
1.1692
1.1222
1.1139
1.1372
1.1663
1.1582
1.0848
1.0807
1.0773
1.0622
1.0183
1.0014




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=38444&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=38444&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38444&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
[1,1.1[1.0560.080.080.8
[1.1,1.2[1.15110.1466670.2266671.466667
[1.2,1.3[1.25300.40.6266674
[1.3,1.4[1.35160.2133330.842.133333
[1.4,1.5[1.4570.0933330.9333330.933333
[1.5,1.6]1.5550.06666710.666667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.1[ & 1.05 & 6 & 0.08 & 0.08 & 0.8 \tabularnewline
[1.1,1.2[ & 1.15 & 11 & 0.146667 & 0.226667 & 1.466667 \tabularnewline
[1.2,1.3[ & 1.25 & 30 & 0.4 & 0.626667 & 4 \tabularnewline
[1.3,1.4[ & 1.35 & 16 & 0.213333 & 0.84 & 2.133333 \tabularnewline
[1.4,1.5[ & 1.45 & 7 & 0.093333 & 0.933333 & 0.933333 \tabularnewline
[1.5,1.6] & 1.55 & 5 & 0.066667 & 1 & 0.666667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38444&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][1,1.1[[/C][C]1.05[/C][C]6[/C][C]0.08[/C][C]0.08[/C][C]0.8[/C][/ROW]
[ROW][C][1.1,1.2[[/C][C]1.15[/C][C]11[/C][C]0.146667[/C][C]0.226667[/C][C]1.466667[/C][/ROW]
[ROW][C][1.2,1.3[[/C][C]1.25[/C][C]30[/C][C]0.4[/C][C]0.626667[/C][C]4[/C][/ROW]
[ROW][C][1.3,1.4[[/C][C]1.35[/C][C]16[/C][C]0.213333[/C][C]0.84[/C][C]2.133333[/C][/ROW]
[ROW][C][1.4,1.5[[/C][C]1.45[/C][C]7[/C][C]0.093333[/C][C]0.933333[/C][C]0.933333[/C][/ROW]
[ROW][C][1.5,1.6][/C][C]1.55[/C][C]5[/C][C]0.066667[/C][C]1[/C][C]0.666667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38444&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38444&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
[1,1.1[1.0560.080.080.8
[1.1,1.2[1.15110.1466670.2266671.466667
[1.2,1.3[1.25300.40.6266674
[1.3,1.4[1.35160.2133330.842.133333
[1.4,1.5[1.4570.0933330.9333330.933333
[1.5,1.6]1.5550.06666710.666667



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')