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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 03 Dec 2009 06:05:34 -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/Dec/03/t1259845652oe7p7y8jhpmj8k0.htm/, Retrieved Fri, 19 Apr 2024 00:30:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62710, Retrieved Fri, 19 Apr 2024 00:30:34 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W22

Estimated Impact

146

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

-     [Histogram] [Indexcijfers verk...] [2009-10-21 09:41:45] [f713c1ac4846c73da8c41c71cf7e0185]
-  M      [Histogram] [Frequentietabel O...] [2009-12-03 13:05:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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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	1 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=62710&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=62710&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62710&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[70,80[	75	5	0.046296	0.046296	0.00463
[80,90[	85	10	0.092593	0.138889	0.009259
[90,100[	95	10	0.092593	0.231481	0.009259
[100,110[	105	10	0.092593	0.324074	0.009259
[110,120[	115	10	0.092593	0.416667	0.009259
[120,130[	125	10	0.092593	0.509259	0.009259
[130,140[	135	10	0.092593	0.601852	0.009259
[140,150[	145	10	0.092593	0.694444	0.009259
[150,160[	155	10	0.092593	0.787037	0.009259
[160,170[	165	10	0.092593	0.87963	0.009259
[170,180[	175	10	0.092593	0.972222	0.009259
[180,190]	185	3	0.027778	1	0.002778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70,80[ & 75 & 5 & 0.046296 & 0.046296 & 0.00463 \tabularnewline
[80,90[ & 85 & 10 & 0.092593 & 0.138889 & 0.009259 \tabularnewline
[90,100[ & 95 & 10 & 0.092593 & 0.231481 & 0.009259 \tabularnewline
[100,110[ & 105 & 10 & 0.092593 & 0.324074 & 0.009259 \tabularnewline
[110,120[ & 115 & 10 & 0.092593 & 0.416667 & 0.009259 \tabularnewline
[120,130[ & 125 & 10 & 0.092593 & 0.509259 & 0.009259 \tabularnewline
[130,140[ & 135 & 10 & 0.092593 & 0.601852 & 0.009259 \tabularnewline
[140,150[ & 145 & 10 & 0.092593 & 0.694444 & 0.009259 \tabularnewline
[150,160[ & 155 & 10 & 0.092593 & 0.787037 & 0.009259 \tabularnewline
[160,170[ & 165 & 10 & 0.092593 & 0.87963 & 0.009259 \tabularnewline
[170,180[ & 175 & 10 & 0.092593 & 0.972222 & 0.009259 \tabularnewline
[180,190] & 185 & 3 & 0.027778 & 1 & 0.002778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62710&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][70,80[[/C][C]75[/C][C]5[/C][C]0.046296[/C][C]0.046296[/C][C]0.00463[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]10[/C][C]0.092593[/C][C]0.138889[/C][C]0.009259[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]10[/C][C]0.092593[/C][C]0.231481[/C][C]0.009259[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]10[/C][C]0.092593[/C][C]0.324074[/C][C]0.009259[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]10[/C][C]0.092593[/C][C]0.416667[/C][C]0.009259[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]10[/C][C]0.092593[/C][C]0.509259[/C][C]0.009259[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]10[/C][C]0.092593[/C][C]0.601852[/C][C]0.009259[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]10[/C][C]0.092593[/C][C]0.694444[/C][C]0.009259[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]10[/C][C]0.092593[/C][C]0.787037[/C][C]0.009259[/C][/ROW]
[ROW][C][160,170[[/C][C]165[/C][C]10[/C][C]0.092593[/C][C]0.87963[/C][C]0.009259[/C][/ROW]
[ROW][C][170,180[[/C][C]175[/C][C]10[/C][C]0.092593[/C][C]0.972222[/C][C]0.009259[/C][/ROW]
[ROW][C][180,190][/C][C]185[/C][C]3[/C][C]0.027778[/C][C]1[/C][C]0.002778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62710&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62710&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
[70,80[	75	5	0.046296	0.046296	0.00463
[80,90[	85	10	0.092593	0.138889	0.009259
[90,100[	95	10	0.092593	0.231481	0.009259
[100,110[	105	10	0.092593	0.324074	0.009259
[110,120[	115	10	0.092593	0.416667	0.009259
[120,130[	125	10	0.092593	0.509259	0.009259
[130,140[	135	10	0.092593	0.601852	0.009259
[140,150[	145	10	0.092593	0.694444	0.009259
[150,160[	155	10	0.092593	0.787037	0.009259
[160,170[	165	10	0.092593	0.87963	0.009259
[170,180[	175	10	0.092593	0.972222	0.009259
[180,190]	185	3	0.027778	1	0.002778

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 ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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