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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 25 Feb 2008 10:06:12 -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/2008/Feb/25/t1203959258k9i5gkbplt1nb4d.htm/, Retrieved Sat, 11 May 2024 11:39:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8970, Retrieved Sat, 11 May 2024 11:39:55 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

178

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

-       [Histogram] [gemiddelde consum...] [2008-02-25 17:06:12] [934a640f32b984cc814aae4d8bf2ca79] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8970&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8970&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[71.4,71.6[	71.5	3	0.041667	0.041667	0.208333
[71.6,71.8[	71.7	8	0.111111	0.152778	0.555556
[71.8,72[	71.9	5	0.069444	0.222222	0.347222
[72,72.2[	72.1	4	0.055556	0.277778	0.277778
[72.2,72.4[	72.3	1	0.013889	0.291667	0.069444
[72.4,72.6[	72.5	1	0.013889	0.305556	0.069444
[72.6,72.8[	72.7	3	0.041667	0.347222	0.208333
[72.8,73[	72.9	1	0.013889	0.361111	0.069444
[73,73.2[	73.1	5	0.069444	0.430556	0.347222
[73.2,73.4[	73.3	1	0.013889	0.444444	0.069444
[73.4,73.6[	73.5	1	0.013889	0.458333	0.069444
[73.6,73.8[	73.7	10	0.138889	0.597222	0.694444
[73.8,74[	73.9	2	0.027778	0.625	0.138889
[74,74.2[	74.1	0	0	0.625	0
[74.2,74.4[	74.3	1	0.013889	0.638889	0.069444
[74.4,74.6[	74.5	4	0.055556	0.694444	0.277778
[74.6,74.8[	74.7	6	0.083333	0.777778	0.416667
[74.8,75[	74.9	6	0.083333	0.861111	0.416667
[75,75.2[	75.1	1	0.013889	0.875	0.069444
[75.2,75.4[	75.3	4	0.055556	0.930556	0.277778
[75.4,75.6[	75.5	4	0.055556	0.986111	0.277778
[75.6,75.8]	75.7	1	0.013889	1	0.069444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[71.4,71.6[ & 71.5 & 3 & 0.041667 & 0.041667 & 0.208333 \tabularnewline
[71.6,71.8[ & 71.7 & 8 & 0.111111 & 0.152778 & 0.555556 \tabularnewline
[71.8,72[ & 71.9 & 5 & 0.069444 & 0.222222 & 0.347222 \tabularnewline
[72,72.2[ & 72.1 & 4 & 0.055556 & 0.277778 & 0.277778 \tabularnewline
[72.2,72.4[ & 72.3 & 1 & 0.013889 & 0.291667 & 0.069444 \tabularnewline
[72.4,72.6[ & 72.5 & 1 & 0.013889 & 0.305556 & 0.069444 \tabularnewline
[72.6,72.8[ & 72.7 & 3 & 0.041667 & 0.347222 & 0.208333 \tabularnewline
[72.8,73[ & 72.9 & 1 & 0.013889 & 0.361111 & 0.069444 \tabularnewline
[73,73.2[ & 73.1 & 5 & 0.069444 & 0.430556 & 0.347222 \tabularnewline
[73.2,73.4[ & 73.3 & 1 & 0.013889 & 0.444444 & 0.069444 \tabularnewline
[73.4,73.6[ & 73.5 & 1 & 0.013889 & 0.458333 & 0.069444 \tabularnewline
[73.6,73.8[ & 73.7 & 10 & 0.138889 & 0.597222 & 0.694444 \tabularnewline
[73.8,74[ & 73.9 & 2 & 0.027778 & 0.625 & 0.138889 \tabularnewline
[74,74.2[ & 74.1 & 0 & 0 & 0.625 & 0 \tabularnewline
[74.2,74.4[ & 74.3 & 1 & 0.013889 & 0.638889 & 0.069444 \tabularnewline
[74.4,74.6[ & 74.5 & 4 & 0.055556 & 0.694444 & 0.277778 \tabularnewline
[74.6,74.8[ & 74.7 & 6 & 0.083333 & 0.777778 & 0.416667 \tabularnewline
[74.8,75[ & 74.9 & 6 & 0.083333 & 0.861111 & 0.416667 \tabularnewline
[75,75.2[ & 75.1 & 1 & 0.013889 & 0.875 & 0.069444 \tabularnewline
[75.2,75.4[ & 75.3 & 4 & 0.055556 & 0.930556 & 0.277778 \tabularnewline
[75.4,75.6[ & 75.5 & 4 & 0.055556 & 0.986111 & 0.277778 \tabularnewline
[75.6,75.8] & 75.7 & 1 & 0.013889 & 1 & 0.069444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8970&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][71.4,71.6[[/C][C]71.5[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.208333[/C][/ROW]
[ROW][C][71.6,71.8[[/C][C]71.7[/C][C]8[/C][C]0.111111[/C][C]0.152778[/C][C]0.555556[/C][/ROW]
[ROW][C][71.8,72[[/C][C]71.9[/C][C]5[/C][C]0.069444[/C][C]0.222222[/C][C]0.347222[/C][/ROW]
[ROW][C][72,72.2[[/C][C]72.1[/C][C]4[/C][C]0.055556[/C][C]0.277778[/C][C]0.277778[/C][/ROW]
[ROW][C][72.2,72.4[[/C][C]72.3[/C][C]1[/C][C]0.013889[/C][C]0.291667[/C][C]0.069444[/C][/ROW]
[ROW][C][72.4,72.6[[/C][C]72.5[/C][C]1[/C][C]0.013889[/C][C]0.305556[/C][C]0.069444[/C][/ROW]
[ROW][C][72.6,72.8[[/C][C]72.7[/C][C]3[/C][C]0.041667[/C][C]0.347222[/C][C]0.208333[/C][/ROW]
[ROW][C][72.8,73[[/C][C]72.9[/C][C]1[/C][C]0.013889[/C][C]0.361111[/C][C]0.069444[/C][/ROW]
[ROW][C][73,73.2[[/C][C]73.1[/C][C]5[/C][C]0.069444[/C][C]0.430556[/C][C]0.347222[/C][/ROW]
[ROW][C][73.2,73.4[[/C][C]73.3[/C][C]1[/C][C]0.013889[/C][C]0.444444[/C][C]0.069444[/C][/ROW]
[ROW][C][73.4,73.6[[/C][C]73.5[/C][C]1[/C][C]0.013889[/C][C]0.458333[/C][C]0.069444[/C][/ROW]
[ROW][C][73.6,73.8[[/C][C]73.7[/C][C]10[/C][C]0.138889[/C][C]0.597222[/C][C]0.694444[/C][/ROW]
[ROW][C][73.8,74[[/C][C]73.9[/C][C]2[/C][C]0.027778[/C][C]0.625[/C][C]0.138889[/C][/ROW]
[ROW][C][74,74.2[[/C][C]74.1[/C][C]0[/C][C]0[/C][C]0.625[/C][C]0[/C][/ROW]
[ROW][C][74.2,74.4[[/C][C]74.3[/C][C]1[/C][C]0.013889[/C][C]0.638889[/C][C]0.069444[/C][/ROW]
[ROW][C][74.4,74.6[[/C][C]74.5[/C][C]4[/C][C]0.055556[/C][C]0.694444[/C][C]0.277778[/C][/ROW]
[ROW][C][74.6,74.8[[/C][C]74.7[/C][C]6[/C][C]0.083333[/C][C]0.777778[/C][C]0.416667[/C][/ROW]
[ROW][C][74.8,75[[/C][C]74.9[/C][C]6[/C][C]0.083333[/C][C]0.861111[/C][C]0.416667[/C][/ROW]
[ROW][C][75,75.2[[/C][C]75.1[/C][C]1[/C][C]0.013889[/C][C]0.875[/C][C]0.069444[/C][/ROW]
[ROW][C][75.2,75.4[[/C][C]75.3[/C][C]4[/C][C]0.055556[/C][C]0.930556[/C][C]0.277778[/C][/ROW]
[ROW][C][75.4,75.6[[/C][C]75.5[/C][C]4[/C][C]0.055556[/C][C]0.986111[/C][C]0.277778[/C][/ROW]
[ROW][C][75.6,75.8][/C][C]75.7[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.069444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8970&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
[71.4,71.6[	71.5	3	0.041667	0.041667	0.208333
[71.6,71.8[	71.7	8	0.111111	0.152778	0.555556
[71.8,72[	71.9	5	0.069444	0.222222	0.347222
[72,72.2[	72.1	4	0.055556	0.277778	0.277778
[72.2,72.4[	72.3	1	0.013889	0.291667	0.069444
[72.4,72.6[	72.5	1	0.013889	0.305556	0.069444
[72.6,72.8[	72.7	3	0.041667	0.347222	0.208333
[72.8,73[	72.9	1	0.013889	0.361111	0.069444
[73,73.2[	73.1	5	0.069444	0.430556	0.347222
[73.2,73.4[	73.3	1	0.013889	0.444444	0.069444
[73.4,73.6[	73.5	1	0.013889	0.458333	0.069444
[73.6,73.8[	73.7	10	0.138889	0.597222	0.694444
[73.8,74[	73.9	2	0.027778	0.625	0.138889
[74,74.2[	74.1	0	0	0.625	0
[74.2,74.4[	74.3	1	0.013889	0.638889	0.069444
[74.4,74.6[	74.5	4	0.055556	0.694444	0.277778
[74.6,74.8[	74.7	6	0.083333	0.777778	0.416667
[74.8,75[	74.9	6	0.083333	0.861111	0.416667
[75,75.2[	75.1	1	0.013889	0.875	0.069444
[75.2,75.4[	75.3	4	0.055556	0.930556	0.277778
[75.4,75.6[	75.5	4	0.055556	0.986111	0.277778
[75.6,75.8]	75.7	1	0.013889	1	0.069444

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):

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