Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 26 Sep 2008 12:28:57 -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/2008/Sep/26/t1222454203zmxu9dpmrlb8she.htm/, Retrieved Sat, 18 May 2024 08:52:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14777, Retrieved Sat, 18 May 2024 08:52:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact356
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] ["maandreeks-Buite...] [2008-09-26 17:53:24] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] ["frequentietabel-...] [2008-09-26 18:28:57] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [Histogram] [histogram buitenl...] [2008-09-29 23:00:56] [74be16979710d4c4e7c6647856088456]
- RMP       [Kernel Density Estimation] [dichtheidsgrafiek...] [2008-09-29 23:12:45] [74be16979710d4c4e7c6647856088456]
- RMPD      [Univariate Data Series] [box plot buitenla...] [2008-10-09 22:12:38] [56af8e1adaf22d814639222931271d81]
- RMPD      [Notched Boxplots] [box plot buitenla...] [2008-10-09 22:16:29] [56af8e1adaf22d814639222931271d81]
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Dataseries X:
11.9
13.6
15.2
12.5
14.9
13.7
12.5
13.1
14.5
15.2
16.1
14.8
15.1
14.8
16.1
14.3
15.2
14.9
13.1
12.6
13.6
14.4
14
12.9
13.4
13.5
14.8
14.3
14.3
14
13.2
12.2
14.3
15.7
14.2
14.6
14.5
14.3
15.3
14.4
13.7
14.2
13.5
11.9
14.6
15.6
14.1
14.9
14.2
14.6
17.2
15.4
14.3
17.5
14.5
14.4
16.6
16.7
16.6
16.9
15.7
16.4
18.4
16.9
16.5
18.3
15.1
15.7
18.1
16.8
18.9
19
18.1
17.8
21.5
17.1
18.7
19
16.4
16.9
18.6
19.3
19.4
17.6
18.6
18.1
20.4
18.1
19.6
19.9
19.2
17.8
19.2
22.1
21.2
19.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14777&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14777&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14777&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' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[11,12[11.520.0208330.0208330.020833
[12,13[12.550.0520830.0729170.052083
[13,14[13.5100.1041670.1770830.104167
[14,15[14.5270.281250.4583330.28125
[15,16[15.5110.1145830.5729170.114583
[16,17[16.5120.1250.6979170.125
[17,18[17.560.06250.7604170.0625
[18,19[18.5100.1041670.8645830.104167
[19,20[19.590.093750.9583330.09375
[20,21[20.510.0104170.968750.010417
[21,22[21.520.0208330.9895830.020833
[22,23]22.510.01041710.010417

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[11,12[ & 11.5 & 2 & 0.020833 & 0.020833 & 0.020833 \tabularnewline
[12,13[ & 12.5 & 5 & 0.052083 & 0.072917 & 0.052083 \tabularnewline
[13,14[ & 13.5 & 10 & 0.104167 & 0.177083 & 0.104167 \tabularnewline
[14,15[ & 14.5 & 27 & 0.28125 & 0.458333 & 0.28125 \tabularnewline
[15,16[ & 15.5 & 11 & 0.114583 & 0.572917 & 0.114583 \tabularnewline
[16,17[ & 16.5 & 12 & 0.125 & 0.697917 & 0.125 \tabularnewline
[17,18[ & 17.5 & 6 & 0.0625 & 0.760417 & 0.0625 \tabularnewline
[18,19[ & 18.5 & 10 & 0.104167 & 0.864583 & 0.104167 \tabularnewline
[19,20[ & 19.5 & 9 & 0.09375 & 0.958333 & 0.09375 \tabularnewline
[20,21[ & 20.5 & 1 & 0.010417 & 0.96875 & 0.010417 \tabularnewline
[21,22[ & 21.5 & 2 & 0.020833 & 0.989583 & 0.020833 \tabularnewline
[22,23] & 22.5 & 1 & 0.010417 & 1 & 0.010417 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14777&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][11,12[[/C][C]11.5[/C][C]2[/C][C]0.020833[/C][C]0.020833[/C][C]0.020833[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]5[/C][C]0.052083[/C][C]0.072917[/C][C]0.052083[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]10[/C][C]0.104167[/C][C]0.177083[/C][C]0.104167[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]27[/C][C]0.28125[/C][C]0.458333[/C][C]0.28125[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]11[/C][C]0.114583[/C][C]0.572917[/C][C]0.114583[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]12[/C][C]0.125[/C][C]0.697917[/C][C]0.125[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]6[/C][C]0.0625[/C][C]0.760417[/C][C]0.0625[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]10[/C][C]0.104167[/C][C]0.864583[/C][C]0.104167[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]9[/C][C]0.09375[/C][C]0.958333[/C][C]0.09375[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]1[/C][C]0.010417[/C][C]0.96875[/C][C]0.010417[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]2[/C][C]0.020833[/C][C]0.989583[/C][C]0.020833[/C][/ROW]
[ROW][C][22,23][/C][C]22.5[/C][C]1[/C][C]0.010417[/C][C]1[/C][C]0.010417[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14777&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14777&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
[11,12[11.520.0208330.0208330.020833
[12,13[12.550.0520830.0729170.052083
[13,14[13.5100.1041670.1770830.104167
[14,15[14.5270.281250.4583330.28125
[15,16[15.5110.1145830.5729170.114583
[16,17[16.5120.1250.6979170.125
[17,18[17.560.06250.7604170.0625
[18,19[18.5100.1041670.8645830.104167
[19,20[19.590.093750.9583330.09375
[20,21[20.510.0104170.968750.010417
[21,22[21.520.0208330.9895830.020833
[22,23]22.510.01041710.010417



Parameters (Session):
par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null ;
Parameters (R input):
par1 = ; par2 = red ; 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')