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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, 05 Mar 2009 05:54:56 -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/Mar/05/t1236257949auus3k1s5prslr0.htm/, Retrieved Fri, 26 Apr 2024 09:08:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38539, Retrieved Fri, 26 Apr 2024 09:08:55 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

161

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

-     [Histogram] [Histogram Brutosc...] [2009-03-05 12:37:09] [7d6e56eb39a91109289258e18f5c4e91]
-   P     [Histogram] [Histogram2 Brutos...] [2009-03-05 12:54:56] [1f24ecf252e89ff3a946a11432983a6a] [Current]

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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=38539&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=38539&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38539&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
[255000,260000[	257500	5	0.068493	0.068493	1.4e-05
[260000,265000[	262500	16	0.219178	0.287671	4.4e-05
[265000,270000[	267500	20	0.273973	0.561644	5.5e-05
[270000,275000[	272500	9	0.123288	0.684932	2.5e-05
[275000,280000[	277500	4	0.054795	0.739726	1.1e-05
[280000,285000[	282500	4	0.054795	0.794521	1.1e-05
[285000,290000[	287500	10	0.136986	0.931507	2.7e-05
[290000,295000[	292500	1	0.013699	0.945205	3e-06
[295000,3e+05[	297500	0	0	0.945205	0
[3e+05,305000[	302500	1	0.013699	0.958904	3e-06
[305000,310000[	307500	2	0.027397	0.986301	5e-06
[310000,315000]	312500	1	0.013699	1	3e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[255000,260000[ & 257500 & 5 & 0.068493 & 0.068493 & 1.4e-05 \tabularnewline
[260000,265000[ & 262500 & 16 & 0.219178 & 0.287671 & 4.4e-05 \tabularnewline
[265000,270000[ & 267500 & 20 & 0.273973 & 0.561644 & 5.5e-05 \tabularnewline
[270000,275000[ & 272500 & 9 & 0.123288 & 0.684932 & 2.5e-05 \tabularnewline
[275000,280000[ & 277500 & 4 & 0.054795 & 0.739726 & 1.1e-05 \tabularnewline
[280000,285000[ & 282500 & 4 & 0.054795 & 0.794521 & 1.1e-05 \tabularnewline
[285000,290000[ & 287500 & 10 & 0.136986 & 0.931507 & 2.7e-05 \tabularnewline
[290000,295000[ & 292500 & 1 & 0.013699 & 0.945205 & 3e-06 \tabularnewline
[295000,3e+05[ & 297500 & 0 & 0 & 0.945205 & 0 \tabularnewline
[3e+05,305000[ & 302500 & 1 & 0.013699 & 0.958904 & 3e-06 \tabularnewline
[305000,310000[ & 307500 & 2 & 0.027397 & 0.986301 & 5e-06 \tabularnewline
[310000,315000] & 312500 & 1 & 0.013699 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38539&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][255000,260000[[/C][C]257500[/C][C]5[/C][C]0.068493[/C][C]0.068493[/C][C]1.4e-05[/C][/ROW]
[ROW][C][260000,265000[[/C][C]262500[/C][C]16[/C][C]0.219178[/C][C]0.287671[/C][C]4.4e-05[/C][/ROW]
[ROW][C][265000,270000[[/C][C]267500[/C][C]20[/C][C]0.273973[/C][C]0.561644[/C][C]5.5e-05[/C][/ROW]
[ROW][C][270000,275000[[/C][C]272500[/C][C]9[/C][C]0.123288[/C][C]0.684932[/C][C]2.5e-05[/C][/ROW]
[ROW][C][275000,280000[[/C][C]277500[/C][C]4[/C][C]0.054795[/C][C]0.739726[/C][C]1.1e-05[/C][/ROW]
[ROW][C][280000,285000[[/C][C]282500[/C][C]4[/C][C]0.054795[/C][C]0.794521[/C][C]1.1e-05[/C][/ROW]
[ROW][C][285000,290000[[/C][C]287500[/C][C]10[/C][C]0.136986[/C][C]0.931507[/C][C]2.7e-05[/C][/ROW]
[ROW][C][290000,295000[[/C][C]292500[/C][C]1[/C][C]0.013699[/C][C]0.945205[/C][C]3e-06[/C][/ROW]
[ROW][C][295000,3e+05[[/C][C]297500[/C][C]0[/C][C]0[/C][C]0.945205[/C][C]0[/C][/ROW]
[ROW][C][3e+05,305000[[/C][C]302500[/C][C]1[/C][C]0.013699[/C][C]0.958904[/C][C]3e-06[/C][/ROW]
[ROW][C][305000,310000[[/C][C]307500[/C][C]2[/C][C]0.027397[/C][C]0.986301[/C][C]5e-06[/C][/ROW]
[ROW][C][310000,315000][/C][C]312500[/C][C]1[/C][C]0.013699[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38539&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38539&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
[255000,260000[	257500	5	0.068493	0.068493	1.4e-05
[260000,265000[	262500	16	0.219178	0.287671	4.4e-05
[265000,270000[	267500	20	0.273973	0.561644	5.5e-05
[270000,275000[	272500	9	0.123288	0.684932	2.5e-05
[275000,280000[	277500	4	0.054795	0.739726	1.1e-05
[280000,285000[	282500	4	0.054795	0.794521	1.1e-05
[285000,290000[	287500	10	0.136986	0.931507	2.7e-05
[290000,295000[	292500	1	0.013699	0.945205	3e-06
[295000,3e+05[	297500	0	0	0.945205	0
[3e+05,305000[	302500	1	0.013699	0.958904	3e-06
[305000,310000[	307500	2	0.027397	0.986301	5e-06
[310000,315000]	312500	1	0.013699	1	3e-06

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 14 ; 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