Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 22 Feb 2010 05:09:42 -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/2010/Feb/22/t1266840843m3814ebb9u5ogxi.htm/, Retrieved Tue, 04 Oct 2022 09:41:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73251, Retrieved Tue, 04 Oct 2022 09:41:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [GDP] [2010-02-08 22:18:08] [222caaaafdeebf4d43b7bb8f29de8917]
- RMP     [Histogram] [Melino Olivini-IK...] [2010-02-22 12:09:42] [2156736b6f7843cba1ea73b621b47743] [Current]
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Dataseries X:
5221.3
5115.9
5107.4
5202.1
5307.5
5266.1
5329.8
5263.4
5177.1
5204.9
5185.2
5189.8
5253.8
5372.3
5478.4
5590.5
5699.8
5797.9
5854.3
5902.4
5956.9
6007.8
6101.7
6148.6
6207.4
6232
6291.7
6323.4
6365
6435
6493.4
6606.8
6639.1
6723.5
6759.4
6848.6
6918.1
6963.5
7013.1
7030.9
7112.1
7130.3
7130.8
7076.9
7040.8
7086.5
7120.7
7154.1
7228.2
7297.9
7369.5
7450.7
7459.7
7497.5
7536
7637.4
7715.1
7815.7
7859.5
7951.6
7973.7
7988
8053.1
8112
8169.2
8303.1
8372.7
8470.6
8536.1
8665.8
8773.7
8838.4
8936.2
8995.3
9098.9
9237.1
9315.5
9392.6
9502.2
9671.1
9695.6
9847.9
9836.6
9887.7
9875.6
9905.9
9871.1
9910
9977.3
10031.6
10090.7
10095.8
10126
10212.7
10398.7
10467
10543.6
10634.2
10728.7
10796.4
10875.8
10946.1
11050
11086.1
11217.3
11291.7
11314.1
11356.4
11357.8
11491.4
11625.7
11620.7
11646
11700.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73251&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]0 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=73251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73251&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5000,6000[5500210.1842110.1842110.000184
[6000,7000[6500170.1491230.3333330.000149
[7000,8000[7500240.2105260.543860.000211
[8000,9000[8500120.1052630.6491230.000105
[9000,10000[9500150.1315790.7807020.000132
[10000,11000[10500130.1140350.8947370.000114
[11000,12000]11500120.10526310.000105

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5000,6000[ & 5500 & 21 & 0.184211 & 0.184211 & 0.000184 \tabularnewline
[6000,7000[ & 6500 & 17 & 0.149123 & 0.333333 & 0.000149 \tabularnewline
[7000,8000[ & 7500 & 24 & 0.210526 & 0.54386 & 0.000211 \tabularnewline
[8000,9000[ & 8500 & 12 & 0.105263 & 0.649123 & 0.000105 \tabularnewline
[9000,10000[ & 9500 & 15 & 0.131579 & 0.780702 & 0.000132 \tabularnewline
[10000,11000[ & 10500 & 13 & 0.114035 & 0.894737 & 0.000114 \tabularnewline
[11000,12000] & 11500 & 12 & 0.105263 & 1 & 0.000105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73251&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][5000,6000[[/C][C]5500[/C][C]21[/C][C]0.184211[/C][C]0.184211[/C][C]0.000184[/C][/ROW]
[ROW][C][6000,7000[[/C][C]6500[/C][C]17[/C][C]0.149123[/C][C]0.333333[/C][C]0.000149[/C][/ROW]
[ROW][C][7000,8000[[/C][C]7500[/C][C]24[/C][C]0.210526[/C][C]0.54386[/C][C]0.000211[/C][/ROW]
[ROW][C][8000,9000[[/C][C]8500[/C][C]12[/C][C]0.105263[/C][C]0.649123[/C][C]0.000105[/C][/ROW]
[ROW][C][9000,10000[[/C][C]9500[/C][C]15[/C][C]0.131579[/C][C]0.780702[/C][C]0.000132[/C][/ROW]
[ROW][C][10000,11000[[/C][C]10500[/C][C]13[/C][C]0.114035[/C][C]0.894737[/C][C]0.000114[/C][/ROW]
[ROW][C][11000,12000][/C][C]11500[/C][C]12[/C][C]0.105263[/C][C]1[/C][C]0.000105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73251&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
[5000,6000[5500210.1842110.1842110.000184
[6000,7000[6500170.1491230.3333330.000149
[7000,8000[7500240.2105260.543860.000211
[8000,9000[8500120.1052630.6491230.000105
[9000,10000[9500150.1315790.7807020.000132
[10000,11000[10500130.1140350.8947370.000114
[11000,12000]11500120.10526310.000105



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')