Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 17 Feb 2010 07:57:00 -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/17/t1266418746k67mou1y5ejjqy5.htm/, Retrieved Tue, 19 Mar 2024 09:29:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73168, Retrieved Tue, 19 Mar 2024 09:29:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact221
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Jaarlijkse tewerk...] [2010-02-09 19:35:23] [e895dcb2cc7dd335cb0a684691a903a1]
- RMPD    [Histogram] [Jaarlijkse tewerk...] [2010-02-17 14:57:00] [f4bf273528b73565e5447b2f69f47b50] [Current]
- RMPD      [Quartiles] [Kwartielen eigen ...] [2010-03-03 12:44:12] [e895dcb2cc7dd335cb0a684691a903a1]
- RMP       [Notched Boxplots] [Boxplot eigen reeks] [2010-03-03 12:49:32] [e895dcb2cc7dd335cb0a684691a903a1]
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Dataseries X:
22577.0
22792.0
23932.0
22321.0
21102.0
22824.0
23129.0
23604.0
24746.0
26911.0
27909.0
28922.0
29800.0
30506.0
30771.0
31976.0
33749.0
34371.0
33246.0
35072.0
35762.0
36179.0
37433.0
38298.0
37559.0
37511.0
39364.0
40084.0
42712.0
41938.0
40799.0
38568.0
41134.0
43955.0
43607.0
45082.0
46464.0
46496.0
46774.0
47890.0
45740.0
42660.0
39190.0
39010.0
41150.0
42530.0
44710.0
46620.0
44560.0
46120.0
48060.0
51970.0
57720.0
63490.0
65370.0
64260.0
58700.0
58630.0
59803.0
59266.0
60570.0
63062.0
63846.0
64726.0
63460.0
65220.0
66659.0
66871.0
65672.0
67182.0
68292.0
68318.0
69530.0
70500.0
72044.0
73811.0
76018.0
77818.0
79455.0
81408.0
81815.0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73168&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73168&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73168&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'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[20000,30000[25000130.1604940.1604941.6e-05
[30000,40000[35000170.2098770.370372.1e-05
[40000,50000[45000210.2592590.629632.6e-05
[50000,60000[5500060.0740740.7037047e-06
[60000,70000[65000160.1975310.9012352e-05
[70000,80000[7500060.0740740.9753097e-06
[80000,90000]8500020.02469112e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20000,30000[ & 25000 & 13 & 0.160494 & 0.160494 & 1.6e-05 \tabularnewline
[30000,40000[ & 35000 & 17 & 0.209877 & 0.37037 & 2.1e-05 \tabularnewline
[40000,50000[ & 45000 & 21 & 0.259259 & 0.62963 & 2.6e-05 \tabularnewline
[50000,60000[ & 55000 & 6 & 0.074074 & 0.703704 & 7e-06 \tabularnewline
[60000,70000[ & 65000 & 16 & 0.197531 & 0.901235 & 2e-05 \tabularnewline
[70000,80000[ & 75000 & 6 & 0.074074 & 0.975309 & 7e-06 \tabularnewline
[80000,90000] & 85000 & 2 & 0.024691 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73168&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][20000,30000[[/C][C]25000[/C][C]13[/C][C]0.160494[/C][C]0.160494[/C][C]1.6e-05[/C][/ROW]
[ROW][C][30000,40000[[/C][C]35000[/C][C]17[/C][C]0.209877[/C][C]0.37037[/C][C]2.1e-05[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]21[/C][C]0.259259[/C][C]0.62963[/C][C]2.6e-05[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]6[/C][C]0.074074[/C][C]0.703704[/C][C]7e-06[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]16[/C][C]0.197531[/C][C]0.901235[/C][C]2e-05[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]6[/C][C]0.074074[/C][C]0.975309[/C][C]7e-06[/C][/ROW]
[ROW][C][80000,90000][/C][C]85000[/C][C]2[/C][C]0.024691[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73168&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73168&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
[20000,30000[25000130.1604940.1604941.6e-05
[30000,40000[35000170.2098770.370372.1e-05
[40000,50000[45000210.2592590.629632.6e-05
[50000,60000[5500060.0740740.7037047e-06
[60000,70000[65000160.1975310.9012352e-05
[70000,80000[7500060.0740740.9753097e-06
[80000,90000]8500020.02469112e-06



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')