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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 04 Oct 2013 08:25:02 -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/Oct/04/t1380889510taov4d5a5bvfsrg.htm/, Retrieved Sun, 28 Apr 2024 19:43:47 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213132, Retrieved Sun, 28 Apr 2024 19:43:47 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R PD    [Histogram] [] [2013-10-04 12:25:02] [df6648d3354c48eb8905db6c004499bd] [Current]

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Dataseries X:

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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=213132&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=213132&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213132&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
[900,950[	925	1	0.007194	0.007194	0.000144
[950,1000[	975	1	0.007194	0.014388	0.000144
[1000,1050[	1025	21	0.151079	0.165468	0.003022
[1050,1100[	1075	0	0	0.165468	0
[1100,1150[	1125	4	0.028777	0.194245	0.000576
[1150,1200[	1175	4	0.028777	0.223022	0.000576
[1200,1250[	1225	0	0	0.223022	0
[1250,1300[	1275	62	0.446043	0.669065	0.008921
[1300,1350[	1325	0	0	0.669065	0
[1350,1400[	1375	8	0.057554	0.726619	0.001151
[1400,1450[	1425	23	0.165468	0.892086	0.003309
[1450,1500[	1475	0	0	0.892086	0
[1500,1550[	1525	1	0.007194	0.899281	0.000144
[1550,1600[	1575	0	0	0.899281	0
[1600,1650[	1625	5	0.035971	0.935252	0.000719
[1650,1700[	1675	5	0.035971	0.971223	0.000719
[1700,1750[	1725	0	0	0.971223	0
[1750,1800[	1775	1	0.007194	0.978417	0.000144
[1800,1850[	1825	0	0	0.978417	0
[1850,1900[	1875	0	0	0.978417	0
[1900,1950[	1925	2	0.014388	0.992806	0.000288
[1950,2000[	1975	0	0	0.992806	0
[2000,2050[	2025	0	0	0.992806	0
[2050,2100[	2075	0	0	0.992806	0
[2100,2150[	2125	0	0	0.992806	0
[2150,2200[	2175	0	0	0.992806	0
[2200,2250[	2225	0	0	0.992806	0
[2250,2300[	2275	0	0	0.992806	0
[2300,2350[	2325	0	0	0.992806	0
[2350,2400[	2375	0	0	0.992806	0
[2400,2450[	2425	0	0	0.992806	0
[2450,2500[	2475	0	0	0.992806	0
[2500,2550[	2525	0	0	0.992806	0
[2550,2600]	2575	1	0.007194	1	0.000144

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[900,950[ & 925 & 1 & 0.007194 & 0.007194 & 0.000144 \tabularnewline
[950,1000[ & 975 & 1 & 0.007194 & 0.014388 & 0.000144 \tabularnewline
[1000,1050[ & 1025 & 21 & 0.151079 & 0.165468 & 0.003022 \tabularnewline
[1050,1100[ & 1075 & 0 & 0 & 0.165468 & 0 \tabularnewline
[1100,1150[ & 1125 & 4 & 0.028777 & 0.194245 & 0.000576 \tabularnewline
[1150,1200[ & 1175 & 4 & 0.028777 & 0.223022 & 0.000576 \tabularnewline
[1200,1250[ & 1225 & 0 & 0 & 0.223022 & 0 \tabularnewline
[1250,1300[ & 1275 & 62 & 0.446043 & 0.669065 & 0.008921 \tabularnewline
[1300,1350[ & 1325 & 0 & 0 & 0.669065 & 0 \tabularnewline
[1350,1400[ & 1375 & 8 & 0.057554 & 0.726619 & 0.001151 \tabularnewline
[1400,1450[ & 1425 & 23 & 0.165468 & 0.892086 & 0.003309 \tabularnewline
[1450,1500[ & 1475 & 0 & 0 & 0.892086 & 0 \tabularnewline
[1500,1550[ & 1525 & 1 & 0.007194 & 0.899281 & 0.000144 \tabularnewline
[1550,1600[ & 1575 & 0 & 0 & 0.899281 & 0 \tabularnewline
[1600,1650[ & 1625 & 5 & 0.035971 & 0.935252 & 0.000719 \tabularnewline
[1650,1700[ & 1675 & 5 & 0.035971 & 0.971223 & 0.000719 \tabularnewline
[1700,1750[ & 1725 & 0 & 0 & 0.971223 & 0 \tabularnewline
[1750,1800[ & 1775 & 1 & 0.007194 & 0.978417 & 0.000144 \tabularnewline
[1800,1850[ & 1825 & 0 & 0 & 0.978417 & 0 \tabularnewline
[1850,1900[ & 1875 & 0 & 0 & 0.978417 & 0 \tabularnewline
[1900,1950[ & 1925 & 2 & 0.014388 & 0.992806 & 0.000288 \tabularnewline
[1950,2000[ & 1975 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2000,2050[ & 2025 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2050,2100[ & 2075 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2100,2150[ & 2125 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2150,2200[ & 2175 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2200,2250[ & 2225 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2250,2300[ & 2275 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2300,2350[ & 2325 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2350,2400[ & 2375 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2400,2450[ & 2425 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2450,2500[ & 2475 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2500,2550[ & 2525 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2550,2600] & 2575 & 1 & 0.007194 & 1 & 0.000144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213132&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][900,950[[/C][C]925[/C][C]1[/C][C]0.007194[/C][C]0.007194[/C][C]0.000144[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]1[/C][C]0.007194[/C][C]0.014388[/C][C]0.000144[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]21[/C][C]0.151079[/C][C]0.165468[/C][C]0.003022[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]0[/C][C]0[/C][C]0.165468[/C][C]0[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]4[/C][C]0.028777[/C][C]0.194245[/C][C]0.000576[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]4[/C][C]0.028777[/C][C]0.223022[/C][C]0.000576[/C][/ROW]
[ROW][C][1200,1250[[/C][C]1225[/C][C]0[/C][C]0[/C][C]0.223022[/C][C]0[/C][/ROW]
[ROW][C][1250,1300[[/C][C]1275[/C][C]62[/C][C]0.446043[/C][C]0.669065[/C][C]0.008921[/C][/ROW]
[ROW][C][1300,1350[[/C][C]1325[/C][C]0[/C][C]0[/C][C]0.669065[/C][C]0[/C][/ROW]
[ROW][C][1350,1400[[/C][C]1375[/C][C]8[/C][C]0.057554[/C][C]0.726619[/C][C]0.001151[/C][/ROW]
[ROW][C][1400,1450[[/C][C]1425[/C][C]23[/C][C]0.165468[/C][C]0.892086[/C][C]0.003309[/C][/ROW]
[ROW][C][1450,1500[[/C][C]1475[/C][C]0[/C][C]0[/C][C]0.892086[/C][C]0[/C][/ROW]
[ROW][C][1500,1550[[/C][C]1525[/C][C]1[/C][C]0.007194[/C][C]0.899281[/C][C]0.000144[/C][/ROW]
[ROW][C][1550,1600[[/C][C]1575[/C][C]0[/C][C]0[/C][C]0.899281[/C][C]0[/C][/ROW]
[ROW][C][1600,1650[[/C][C]1625[/C][C]5[/C][C]0.035971[/C][C]0.935252[/C][C]0.000719[/C][/ROW]
[ROW][C][1650,1700[[/C][C]1675[/C][C]5[/C][C]0.035971[/C][C]0.971223[/C][C]0.000719[/C][/ROW]
[ROW][C][1700,1750[[/C][C]1725[/C][C]0[/C][C]0[/C][C]0.971223[/C][C]0[/C][/ROW]
[ROW][C][1750,1800[[/C][C]1775[/C][C]1[/C][C]0.007194[/C][C]0.978417[/C][C]0.000144[/C][/ROW]
[ROW][C][1800,1850[[/C][C]1825[/C][C]0[/C][C]0[/C][C]0.978417[/C][C]0[/C][/ROW]
[ROW][C][1850,1900[[/C][C]1875[/C][C]0[/C][C]0[/C][C]0.978417[/C][C]0[/C][/ROW]
[ROW][C][1900,1950[[/C][C]1925[/C][C]2[/C][C]0.014388[/C][C]0.992806[/C][C]0.000288[/C][/ROW]
[ROW][C][1950,2000[[/C][C]1975[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2000,2050[[/C][C]2025[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2050,2100[[/C][C]2075[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2100,2150[[/C][C]2125[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2150,2200[[/C][C]2175[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2200,2250[[/C][C]2225[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2250,2300[[/C][C]2275[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2300,2350[[/C][C]2325[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2350,2400[[/C][C]2375[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2400,2450[[/C][C]2425[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2450,2500[[/C][C]2475[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2500,2550[[/C][C]2525[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2550,2600][/C][C]2575[/C][C]1[/C][C]0.007194[/C][C]1[/C][C]0.000144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213132&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213132&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
[900,950[	925	1	0.007194	0.007194	0.000144
[950,1000[	975	1	0.007194	0.014388	0.000144
[1000,1050[	1025	21	0.151079	0.165468	0.003022
[1050,1100[	1075	0	0	0.165468	0
[1100,1150[	1125	4	0.028777	0.194245	0.000576
[1150,1200[	1175	4	0.028777	0.223022	0.000576
[1200,1250[	1225	0	0	0.223022	0
[1250,1300[	1275	62	0.446043	0.669065	0.008921
[1300,1350[	1325	0	0	0.669065	0
[1350,1400[	1375	8	0.057554	0.726619	0.001151
[1400,1450[	1425	23	0.165468	0.892086	0.003309
[1450,1500[	1475	0	0	0.892086	0
[1500,1550[	1525	1	0.007194	0.899281	0.000144
[1550,1600[	1575	0	0	0.899281	0
[1600,1650[	1625	5	0.035971	0.935252	0.000719
[1650,1700[	1675	5	0.035971	0.971223	0.000719
[1700,1750[	1725	0	0	0.971223	0
[1750,1800[	1775	1	0.007194	0.978417	0.000144
[1800,1850[	1825	0	0	0.978417	0
[1850,1900[	1875	0	0	0.978417	0
[1900,1950[	1925	2	0.014388	0.992806	0.000288
[1950,2000[	1975	0	0	0.992806	0
[2000,2050[	2025	0	0	0.992806	0
[2050,2100[	2075	0	0	0.992806	0
[2100,2150[	2125	0	0	0.992806	0
[2150,2200[	2175	0	0	0.992806	0
[2200,2250[	2225	0	0	0.992806	0
[2250,2300[	2275	0	0	0.992806	0
[2300,2350[	2325	0	0	0.992806	0
[2350,2400[	2375	0	0	0.992806	0
[2400,2450[	2425	0	0	0.992806	0
[2450,2500[	2475	0	0	0.992806	0
[2500,2550[	2525	0	0	0.992806	0
[2550,2600]	2575	1	0.007194	1	0.000144

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 30 ; 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