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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, 30 Sep 2012 15:06:19 -0400

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/2012/Sep/30/t1349032016d35fuupnudsfwge.htm/, Retrieved Tue, 30 Apr 2024 06:31:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170594, Retrieved Tue, 30 Apr 2024 06:31:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

118

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

-       [Histogram] [] [2012-09-30 19:06:19] [b7ec516ed4ac617af0f7d8ff855a58b9] [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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170594&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170594&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170594&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[15.4,15.6[	15.5	1	0.013889	0.013889	0.069444
[15.6,15.8[	15.7	5	0.069444	0.083333	0.347222
[15.8,16[	15.9	7	0.097222	0.180556	0.486111
[16,16.2[	16.1	3	0.041667	0.222222	0.208333
[16.2,16.4[	16.3	9	0.125	0.347222	0.625
[16.4,16.6[	16.5	12	0.166667	0.513889	0.833333
[16.6,16.8[	16.7	4	0.055556	0.569444	0.277778
[16.8,17[	16.9	4	0.055556	0.625	0.277778
[17,17.2[	17.1	4	0.055556	0.680556	0.277778
[17.2,17.4[	17.3	1	0.013889	0.694444	0.069444
[17.4,17.6[	17.5	4	0.055556	0.75	0.277778
[17.6,17.8[	17.7	4	0.055556	0.805556	0.277778
[17.8,18[	17.9	6	0.083333	0.888889	0.416667
[18,18.2]	18.1	8	0.111111	1	0.555556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15.4,15.6[ & 15.5 & 1 & 0.013889 & 0.013889 & 0.069444 \tabularnewline
[15.6,15.8[ & 15.7 & 5 & 0.069444 & 0.083333 & 0.347222 \tabularnewline
[15.8,16[ & 15.9 & 7 & 0.097222 & 0.180556 & 0.486111 \tabularnewline
[16,16.2[ & 16.1 & 3 & 0.041667 & 0.222222 & 0.208333 \tabularnewline
[16.2,16.4[ & 16.3 & 9 & 0.125 & 0.347222 & 0.625 \tabularnewline
[16.4,16.6[ & 16.5 & 12 & 0.166667 & 0.513889 & 0.833333 \tabularnewline
[16.6,16.8[ & 16.7 & 4 & 0.055556 & 0.569444 & 0.277778 \tabularnewline
[16.8,17[ & 16.9 & 4 & 0.055556 & 0.625 & 0.277778 \tabularnewline
[17,17.2[ & 17.1 & 4 & 0.055556 & 0.680556 & 0.277778 \tabularnewline
[17.2,17.4[ & 17.3 & 1 & 0.013889 & 0.694444 & 0.069444 \tabularnewline
[17.4,17.6[ & 17.5 & 4 & 0.055556 & 0.75 & 0.277778 \tabularnewline
[17.6,17.8[ & 17.7 & 4 & 0.055556 & 0.805556 & 0.277778 \tabularnewline
[17.8,18[ & 17.9 & 6 & 0.083333 & 0.888889 & 0.416667 \tabularnewline
[18,18.2] & 18.1 & 8 & 0.111111 & 1 & 0.555556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170594&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][15.4,15.6[[/C][C]15.5[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.069444[/C][/ROW]
[ROW][C][15.6,15.8[[/C][C]15.7[/C][C]5[/C][C]0.069444[/C][C]0.083333[/C][C]0.347222[/C][/ROW]
[ROW][C][15.8,16[[/C][C]15.9[/C][C]7[/C][C]0.097222[/C][C]0.180556[/C][C]0.486111[/C][/ROW]
[ROW][C][16,16.2[[/C][C]16.1[/C][C]3[/C][C]0.041667[/C][C]0.222222[/C][C]0.208333[/C][/ROW]
[ROW][C][16.2,16.4[[/C][C]16.3[/C][C]9[/C][C]0.125[/C][C]0.347222[/C][C]0.625[/C][/ROW]
[ROW][C][16.4,16.6[[/C][C]16.5[/C][C]12[/C][C]0.166667[/C][C]0.513889[/C][C]0.833333[/C][/ROW]
[ROW][C][16.6,16.8[[/C][C]16.7[/C][C]4[/C][C]0.055556[/C][C]0.569444[/C][C]0.277778[/C][/ROW]
[ROW][C][16.8,17[[/C][C]16.9[/C][C]4[/C][C]0.055556[/C][C]0.625[/C][C]0.277778[/C][/ROW]
[ROW][C][17,17.2[[/C][C]17.1[/C][C]4[/C][C]0.055556[/C][C]0.680556[/C][C]0.277778[/C][/ROW]
[ROW][C][17.2,17.4[[/C][C]17.3[/C][C]1[/C][C]0.013889[/C][C]0.694444[/C][C]0.069444[/C][/ROW]
[ROW][C][17.4,17.6[[/C][C]17.5[/C][C]4[/C][C]0.055556[/C][C]0.75[/C][C]0.277778[/C][/ROW]
[ROW][C][17.6,17.8[[/C][C]17.7[/C][C]4[/C][C]0.055556[/C][C]0.805556[/C][C]0.277778[/C][/ROW]
[ROW][C][17.8,18[[/C][C]17.9[/C][C]6[/C][C]0.083333[/C][C]0.888889[/C][C]0.416667[/C][/ROW]
[ROW][C][18,18.2][/C][C]18.1[/C][C]8[/C][C]0.111111[/C][C]1[/C][C]0.555556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170594&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170594&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
[15.4,15.6[	15.5	1	0.013889	0.013889	0.069444
[15.6,15.8[	15.7	5	0.069444	0.083333	0.347222
[15.8,16[	15.9	7	0.097222	0.180556	0.486111
[16,16.2[	16.1	3	0.041667	0.222222	0.208333
[16.2,16.4[	16.3	9	0.125	0.347222	0.625
[16.4,16.6[	16.5	12	0.166667	0.513889	0.833333
[16.6,16.8[	16.7	4	0.055556	0.569444	0.277778
[16.8,17[	16.9	4	0.055556	0.625	0.277778
[17,17.2[	17.1	4	0.055556	0.680556	0.277778
[17.2,17.4[	17.3	1	0.013889	0.694444	0.069444
[17.4,17.6[	17.5	4	0.055556	0.75	0.277778
[17.6,17.8[	17.7	4	0.055556	0.805556	0.277778
[17.8,18[	17.9	6	0.083333	0.888889	0.416667
[18,18.2]	18.1	8	0.111111	1	0.555556

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 10 ; 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.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