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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 06 Feb 2009 06:58:18 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Feb/06/t1233928769d1sq2hnm9es06mt.htm/, Retrieved Sat, 11 May 2024 06:21:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37030, Retrieved Sat, 11 May 2024 06:21:01 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

231

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [Frequentietabel] [2009-02-06 13:58:18] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-         [Histogram] [] [2009-02-13 12:54:09] [74be16979710d4c4e7c6647856088456] 
-   P       [Histogram] [] [2009-02-13 13:00:52] [74be16979710d4c4e7c6647856088456] 
-   P         [Histogram] [] [2009-02-13 13:08:00] [74be16979710d4c4e7c6647856088456] 
- RMP           [Kernel Density Estimation] [] [2009-02-13 13:22:39] [74be16979710d4c4e7c6647856088456] 
-                 [Kernel Density Estimation] [Cijfferreeks-Verk...] [2009-02-18 20:13:31] [74be16979710d4c4e7c6647856088456] 
-           [Histogram] [Cijfferreeks-Verk...] [2009-02-18 20:10:48] [74be16979710d4c4e7c6647856088456] 
-         [Histogram] [Cijfferreeks-Verk...] [2009-02-18 20:32:18] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37030&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37030&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[400,600[	500	3	0.041667	0.041667	0.000208
[600,800[	700	6	0.083333	0.125	0.000417
[800,1000[	900	18	0.25	0.375	0.00125
[1000,1200[	1100	16	0.222222	0.597222	0.001111
[1200,1400[	1300	14	0.194444	0.791667	0.000972
[1400,1600[	1500	10	0.138889	0.930556	0.000694
[1600,1800[	1700	2	0.027778	0.958333	0.000139
[1800,2000[	1900	1	0.013889	0.972222	6.9e-05
[2000,2200[	2100	1	0.013889	0.986111	6.9e-05
[2200,2400]	2300	1	0.013889	1	6.9e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[400,600[ & 500 & 3 & 0.041667 & 0.041667 & 0.000208 \tabularnewline
[600,800[ & 700 & 6 & 0.083333 & 0.125 & 0.000417 \tabularnewline
[800,1000[ & 900 & 18 & 0.25 & 0.375 & 0.00125 \tabularnewline
[1000,1200[ & 1100 & 16 & 0.222222 & 0.597222 & 0.001111 \tabularnewline
[1200,1400[ & 1300 & 14 & 0.194444 & 0.791667 & 0.000972 \tabularnewline
[1400,1600[ & 1500 & 10 & 0.138889 & 0.930556 & 0.000694 \tabularnewline
[1600,1800[ & 1700 & 2 & 0.027778 & 0.958333 & 0.000139 \tabularnewline
[1800,2000[ & 1900 & 1 & 0.013889 & 0.972222 & 6.9e-05 \tabularnewline
[2000,2200[ & 2100 & 1 & 0.013889 & 0.986111 & 6.9e-05 \tabularnewline
[2200,2400] & 2300 & 1 & 0.013889 & 1 & 6.9e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37030&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][400,600[[/C][C]500[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.000208[/C][/ROW]
[ROW][C][600,800[[/C][C]700[/C][C]6[/C][C]0.083333[/C][C]0.125[/C][C]0.000417[/C][/ROW]
[ROW][C][800,1000[[/C][C]900[/C][C]18[/C][C]0.25[/C][C]0.375[/C][C]0.00125[/C][/ROW]
[ROW][C][1000,1200[[/C][C]1100[/C][C]16[/C][C]0.222222[/C][C]0.597222[/C][C]0.001111[/C][/ROW]
[ROW][C][1200,1400[[/C][C]1300[/C][C]14[/C][C]0.194444[/C][C]0.791667[/C][C]0.000972[/C][/ROW]
[ROW][C][1400,1600[[/C][C]1500[/C][C]10[/C][C]0.138889[/C][C]0.930556[/C][C]0.000694[/C][/ROW]
[ROW][C][1600,1800[[/C][C]1700[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]0.000139[/C][/ROW]
[ROW][C][1800,2000[[/C][C]1900[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]6.9e-05[/C][/ROW]
[ROW][C][2000,2200[[/C][C]2100[/C][C]1[/C][C]0.013889[/C][C]0.986111[/C][C]6.9e-05[/C][/ROW]
[ROW][C][2200,2400][/C][C]2300[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]6.9e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37030&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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[400,600[	500	3	0.041667	0.041667	0.000208
[600,800[	700	6	0.083333	0.125	0.000417
[800,1000[	900	18	0.25	0.375	0.00125
[1000,1200[	1100	16	0.222222	0.597222	0.001111
[1200,1400[	1300	14	0.194444	0.791667	0.000972
[1400,1600[	1500	10	0.138889	0.930556	0.000694
[1600,1800[	1700	2	0.027778	0.958333	0.000139
[1800,2000[	1900	1	0.013889	0.972222	6.9e-05
[2000,2200[	2100	1	0.013889	0.986111	6.9e-05
[2200,2400]	2300	1	0.013889	1	6.9e-05

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code