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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 21 Dec 2014 15:27:25 +0000

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/2014/Dec/21/t1419175692ybtsmrav104tuvu.htm/, Retrieved Thu, 16 May 2024 18:08:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271374, Retrieved Thu, 16 May 2024 18:08:21 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

164

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

-       [Histogram] [] [2014-12-21 15:27:25] [517bf63cbd197750110a40d4d2cd39d6] [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	'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271374&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271374&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,200]	100	2	0.028986	0.028986	0.000145
]200,400]	300	2	0.028986	0.057971	0.000145
]400,600]	500	0	0	0.057971	0
]600,800]	700	1	0.014493	0.072464	7.2e-05
]800,1000]	900	6	0.086957	0.15942	0.000435
]1000,1200]	1100	10	0.144928	0.304348	0.000725
]1200,1400]	1300	14	0.202899	0.507246	0.001014
]1400,1600]	1500	17	0.246377	0.753623	0.001232
]1600,1800]	1700	4	0.057971	0.811594	0.00029
]1800,2000]	1900	4	0.057971	0.869565	0.00029
]2000,2200]	2100	1	0.014493	0.884058	7.2e-05
]2200,2400]	2300	0	0	0.884058	0
]2400,2600]	2500	1	0.014493	0.898551	7.2e-05
]2600,2800]	2700	4	0.057971	0.956522	0.00029
]2800,3000]	2900	0	0	0.956522	0
]3000,3200]	3100	0	0	0.956522	0
]3200,3400]	3300	1	0.014493	0.971014	7.2e-05
]3400,3600]	3500	1	0.014493	0.985507	7.2e-05
]3600,3800]	3700	0	0	0.985507	0
]3800,4000]	3900	0	0	0.985507	0
]4000,4200]	4100	1	0.014493	1	7.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,200] & 100 & 2 & 0.028986 & 0.028986 & 0.000145 \tabularnewline
]200,400] & 300 & 2 & 0.028986 & 0.057971 & 0.000145 \tabularnewline
]400,600] & 500 & 0 & 0 & 0.057971 & 0 \tabularnewline
]600,800] & 700 & 1 & 0.014493 & 0.072464 & 7.2e-05 \tabularnewline
]800,1000] & 900 & 6 & 0.086957 & 0.15942 & 0.000435 \tabularnewline
]1000,1200] & 1100 & 10 & 0.144928 & 0.304348 & 0.000725 \tabularnewline
]1200,1400] & 1300 & 14 & 0.202899 & 0.507246 & 0.001014 \tabularnewline
]1400,1600] & 1500 & 17 & 0.246377 & 0.753623 & 0.001232 \tabularnewline
]1600,1800] & 1700 & 4 & 0.057971 & 0.811594 & 0.00029 \tabularnewline
]1800,2000] & 1900 & 4 & 0.057971 & 0.869565 & 0.00029 \tabularnewline
]2000,2200] & 2100 & 1 & 0.014493 & 0.884058 & 7.2e-05 \tabularnewline
]2200,2400] & 2300 & 0 & 0 & 0.884058 & 0 \tabularnewline
]2400,2600] & 2500 & 1 & 0.014493 & 0.898551 & 7.2e-05 \tabularnewline
]2600,2800] & 2700 & 4 & 0.057971 & 0.956522 & 0.00029 \tabularnewline
]2800,3000] & 2900 & 0 & 0 & 0.956522 & 0 \tabularnewline
]3000,3200] & 3100 & 0 & 0 & 0.956522 & 0 \tabularnewline
]3200,3400] & 3300 & 1 & 0.014493 & 0.971014 & 7.2e-05 \tabularnewline
]3400,3600] & 3500 & 1 & 0.014493 & 0.985507 & 7.2e-05 \tabularnewline
]3600,3800] & 3700 & 0 & 0 & 0.985507 & 0 \tabularnewline
]3800,4000] & 3900 & 0 & 0 & 0.985507 & 0 \tabularnewline
]4000,4200] & 4100 & 1 & 0.014493 & 1 & 7.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271374&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][0,200][/C][C]100[/C][C]2[/C][C]0.028986[/C][C]0.028986[/C][C]0.000145[/C][/ROW]
[ROW][C]]200,400][/C][C]300[/C][C]2[/C][C]0.028986[/C][C]0.057971[/C][C]0.000145[/C][/ROW]
[ROW][C]]400,600][/C][C]500[/C][C]0[/C][C]0[/C][C]0.057971[/C][C]0[/C][/ROW]
[ROW][C]]600,800][/C][C]700[/C][C]1[/C][C]0.014493[/C][C]0.072464[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]800,1000][/C][C]900[/C][C]6[/C][C]0.086957[/C][C]0.15942[/C][C]0.000435[/C][/ROW]
[ROW][C]]1000,1200][/C][C]1100[/C][C]10[/C][C]0.144928[/C][C]0.304348[/C][C]0.000725[/C][/ROW]
[ROW][C]]1200,1400][/C][C]1300[/C][C]14[/C][C]0.202899[/C][C]0.507246[/C][C]0.001014[/C][/ROW]
[ROW][C]]1400,1600][/C][C]1500[/C][C]17[/C][C]0.246377[/C][C]0.753623[/C][C]0.001232[/C][/ROW]
[ROW][C]]1600,1800][/C][C]1700[/C][C]4[/C][C]0.057971[/C][C]0.811594[/C][C]0.00029[/C][/ROW]
[ROW][C]]1800,2000][/C][C]1900[/C][C]4[/C][C]0.057971[/C][C]0.869565[/C][C]0.00029[/C][/ROW]
[ROW][C]]2000,2200][/C][C]2100[/C][C]1[/C][C]0.014493[/C][C]0.884058[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]2200,2400][/C][C]2300[/C][C]0[/C][C]0[/C][C]0.884058[/C][C]0[/C][/ROW]
[ROW][C]]2400,2600][/C][C]2500[/C][C]1[/C][C]0.014493[/C][C]0.898551[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]2600,2800][/C][C]2700[/C][C]4[/C][C]0.057971[/C][C]0.956522[/C][C]0.00029[/C][/ROW]
[ROW][C]]2800,3000][/C][C]2900[/C][C]0[/C][C]0[/C][C]0.956522[/C][C]0[/C][/ROW]
[ROW][C]]3000,3200][/C][C]3100[/C][C]0[/C][C]0[/C][C]0.956522[/C][C]0[/C][/ROW]
[ROW][C]]3200,3400][/C][C]3300[/C][C]1[/C][C]0.014493[/C][C]0.971014[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]3400,3600][/C][C]3500[/C][C]1[/C][C]0.014493[/C][C]0.985507[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]3600,3800][/C][C]3700[/C][C]0[/C][C]0[/C][C]0.985507[/C][C]0[/C][/ROW]
[ROW][C]]3800,4000][/C][C]3900[/C][C]0[/C][C]0[/C][C]0.985507[/C][C]0[/C][/ROW]
[ROW][C]]4000,4200][/C][C]4100[/C][C]1[/C][C]0.014493[/C][C]1[/C][C]7.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271374&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
[0,200]	100	2	0.028986	0.028986	0.000145
]200,400]	300	2	0.028986	0.057971	0.000145
]400,600]	500	0	0	0.057971	0
]600,800]	700	1	0.014493	0.072464	7.2e-05
]800,1000]	900	6	0.086957	0.15942	0.000435
]1000,1200]	1100	10	0.144928	0.304348	0.000725
]1200,1400]	1300	14	0.202899	0.507246	0.001014
]1400,1600]	1500	17	0.246377	0.753623	0.001232
]1600,1800]	1700	4	0.057971	0.811594	0.00029
]1800,2000]	1900	4	0.057971	0.869565	0.00029
]2000,2200]	2100	1	0.014493	0.884058	7.2e-05
]2200,2400]	2300	0	0	0.884058	0
]2400,2600]	2500	1	0.014493	0.898551	7.2e-05
]2600,2800]	2700	4	0.057971	0.956522	0.00029
]2800,3000]	2900	0	0	0.956522	0
]3000,3200]	3100	0	0	0.956522	0
]3200,3400]	3300	1	0.014493	0.971014	7.2e-05
]3400,3600]	3500	1	0.014493	0.985507	7.2e-05
]3600,3800]	3700	0	0	0.985507	0
]3800,4000]	3900	0	0	0.985507	0
]4000,4200]	4100	1	0.014493	1	7.2e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = red ; par3 = TRUE ; par4 = Unknown ;

Parameters (R input):

par1 = 24 ; par2 = blue ; par3 = TRUE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'TRUE'
par2 <- 'yellow'
par1 <- '5'
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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code