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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 28 Sep 2013 14:56:16 -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/2013/Sep/28/t1380394638ce6a3pige1w2408.htm/, Retrieved Mon, 29 Apr 2024 15:28:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212373, Retrieved Mon, 29 Apr 2024 15:28:55 +0000

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Estimated Impact

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

-       [Histogram] [] [2013-09-28 18:56:16] [790f0636b450c832b3696ec959e2e52b] [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	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212373&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212373&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212373&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 Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[20.8,20.9[	20.85	1	0.011905	0.011905	0.119048
[20.9,21[	20.95	0	0	0.011905	0
[21,21.1[	21.05	2	0.02381	0.035714	0.238095
[21.1,21.2[	21.15	4	0.047619	0.083333	0.47619
[21.2,21.3[	21.25	6	0.071429	0.154762	0.714286
[21.3,21.4[	21.35	0	0	0.154762	0
[21.4,21.5[	21.45	0	0	0.154762	0
[21.5,21.6[	21.55	2	0.02381	0.178571	0.238095
[21.6,21.7[	21.65	5	0.059524	0.238095	0.595238
[21.7,21.8[	21.75	2	0.02381	0.261905	0.238095
[21.8,21.9[	21.85	1	0.011905	0.27381	0.119048
[21.9,22[	21.95	5	0.059524	0.333333	0.595238
[22,22.1[	22.05	13	0.154762	0.488095	1.547619
[22.1,22.2[	22.15	12	0.142857	0.630952	1.428571
[22.2,22.3[	22.25	17	0.202381	0.833333	2.02381
[22.3,22.4[	22.35	7	0.083333	0.916667	0.833333
[22.4,22.5]	22.45	7	0.083333	1	0.833333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20.8,20.9[ & 20.85 & 1 & 0.011905 & 0.011905 & 0.119048 \tabularnewline
[20.9,21[ & 20.95 & 0 & 0 & 0.011905 & 0 \tabularnewline
[21,21.1[ & 21.05 & 2 & 0.02381 & 0.035714 & 0.238095 \tabularnewline
[21.1,21.2[ & 21.15 & 4 & 0.047619 & 0.083333 & 0.47619 \tabularnewline
[21.2,21.3[ & 21.25 & 6 & 0.071429 & 0.154762 & 0.714286 \tabularnewline
[21.3,21.4[ & 21.35 & 0 & 0 & 0.154762 & 0 \tabularnewline
[21.4,21.5[ & 21.45 & 0 & 0 & 0.154762 & 0 \tabularnewline
[21.5,21.6[ & 21.55 & 2 & 0.02381 & 0.178571 & 0.238095 \tabularnewline
[21.6,21.7[ & 21.65 & 5 & 0.059524 & 0.238095 & 0.595238 \tabularnewline
[21.7,21.8[ & 21.75 & 2 & 0.02381 & 0.261905 & 0.238095 \tabularnewline
[21.8,21.9[ & 21.85 & 1 & 0.011905 & 0.27381 & 0.119048 \tabularnewline
[21.9,22[ & 21.95 & 5 & 0.059524 & 0.333333 & 0.595238 \tabularnewline
[22,22.1[ & 22.05 & 13 & 0.154762 & 0.488095 & 1.547619 \tabularnewline
[22.1,22.2[ & 22.15 & 12 & 0.142857 & 0.630952 & 1.428571 \tabularnewline
[22.2,22.3[ & 22.25 & 17 & 0.202381 & 0.833333 & 2.02381 \tabularnewline
[22.3,22.4[ & 22.35 & 7 & 0.083333 & 0.916667 & 0.833333 \tabularnewline
[22.4,22.5] & 22.45 & 7 & 0.083333 & 1 & 0.833333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212373&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][20.8,20.9[[/C][C]20.85[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.119048[/C][/ROW]
[ROW][C][20.9,21[[/C][C]20.95[/C][C]0[/C][C]0[/C][C]0.011905[/C][C]0[/C][/ROW]
[ROW][C][21,21.1[[/C][C]21.05[/C][C]2[/C][C]0.02381[/C][C]0.035714[/C][C]0.238095[/C][/ROW]
[ROW][C][21.1,21.2[[/C][C]21.15[/C][C]4[/C][C]0.047619[/C][C]0.083333[/C][C]0.47619[/C][/ROW]
[ROW][C][21.2,21.3[[/C][C]21.25[/C][C]6[/C][C]0.071429[/C][C]0.154762[/C][C]0.714286[/C][/ROW]
[ROW][C][21.3,21.4[[/C][C]21.35[/C][C]0[/C][C]0[/C][C]0.154762[/C][C]0[/C][/ROW]
[ROW][C][21.4,21.5[[/C][C]21.45[/C][C]0[/C][C]0[/C][C]0.154762[/C][C]0[/C][/ROW]
[ROW][C][21.5,21.6[[/C][C]21.55[/C][C]2[/C][C]0.02381[/C][C]0.178571[/C][C]0.238095[/C][/ROW]
[ROW][C][21.6,21.7[[/C][C]21.65[/C][C]5[/C][C]0.059524[/C][C]0.238095[/C][C]0.595238[/C][/ROW]
[ROW][C][21.7,21.8[[/C][C]21.75[/C][C]2[/C][C]0.02381[/C][C]0.261905[/C][C]0.238095[/C][/ROW]
[ROW][C][21.8,21.9[[/C][C]21.85[/C][C]1[/C][C]0.011905[/C][C]0.27381[/C][C]0.119048[/C][/ROW]
[ROW][C][21.9,22[[/C][C]21.95[/C][C]5[/C][C]0.059524[/C][C]0.333333[/C][C]0.595238[/C][/ROW]
[ROW][C][22,22.1[[/C][C]22.05[/C][C]13[/C][C]0.154762[/C][C]0.488095[/C][C]1.547619[/C][/ROW]
[ROW][C][22.1,22.2[[/C][C]22.15[/C][C]12[/C][C]0.142857[/C][C]0.630952[/C][C]1.428571[/C][/ROW]
[ROW][C][22.2,22.3[[/C][C]22.25[/C][C]17[/C][C]0.202381[/C][C]0.833333[/C][C]2.02381[/C][/ROW]
[ROW][C][22.3,22.4[[/C][C]22.35[/C][C]7[/C][C]0.083333[/C][C]0.916667[/C][C]0.833333[/C][/ROW]
[ROW][C][22.4,22.5][/C][C]22.45[/C][C]7[/C][C]0.083333[/C][C]1[/C][C]0.833333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212373&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212373&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
[20.8,20.9[	20.85	1	0.011905	0.011905	0.119048
[20.9,21[	20.95	0	0	0.011905	0
[21,21.1[	21.05	2	0.02381	0.035714	0.238095
[21.1,21.2[	21.15	4	0.047619	0.083333	0.47619
[21.2,21.3[	21.25	6	0.071429	0.154762	0.714286
[21.3,21.4[	21.35	0	0	0.154762	0
[21.4,21.5[	21.45	0	0	0.154762	0
[21.5,21.6[	21.55	2	0.02381	0.178571	0.238095
[21.6,21.7[	21.65	5	0.059524	0.238095	0.595238
[21.7,21.8[	21.75	2	0.02381	0.261905	0.238095
[21.8,21.9[	21.85	1	0.011905	0.27381	0.119048
[21.9,22[	21.95	5	0.059524	0.333333	0.595238
[22,22.1[	22.05	13	0.154762	0.488095	1.547619
[22.1,22.2[	22.15	12	0.142857	0.630952	1.428571
[22.2,22.3[	22.25	17	0.202381	0.833333	2.02381
[22.3,22.4[	22.35	7	0.083333	0.916667	0.833333
[22.4,22.5]	22.45	7	0.083333	1	0.833333

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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