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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

Mon, 20 Oct 2008 13:57:05 -0600

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/Oct/20/t1224532665qtk1jwm3bcwnkaf.htm/, Retrieved Sun, 19 May 2024 15:22:20 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18024, Retrieved Sun, 19 May 2024 15:22:20 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

140

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

-     [Univariate Data Series] [Werkloosheid VLAA...] [2008-10-19 10:39:43] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP   [Histogram] [Histogram - Werkl...] [2008-10-19 11:26:30] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F   PD    [Histogram] [Result 1 (Werkloo...] [2008-10-20 19:52:00] [70cb582895831af4be81fec73c607e93]
F   PD        [Histogram] [Result 1 (Indicat...] [2008-10-20 19:57:05] [96c9291ce335a5c9abba7b920811c2df] [Current]
F   PD          [Histogram] [Result 1 (Consump...] [2008-10-20 20:02:10] [70cb582895831af4be81fec73c607e93] 

Feedback Forum

2008-10-26 12:29:30 [Julie Leurentop] [reply] 
De indicator van het consumentenvertrouwen laat zien dat de histogram eerder rechts scewd, dan normaal verdeeld is. 
2008-10-27 10:56:21 [Karen Van den Broeck] [reply] 
Het is hier geen normaalverdeling. We kunnen duidelijk zien dat het histogram een rechts scheefheid vertoont.

Post a new message

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 Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18024&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18024&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18024&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 Ronald Aylmer Fisher' @ 193.190.124.24

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[5,6[	5.5	1	0.016667	0.016667	0.016667
[6,7[	6.5	1	0.016667	0.033333	0.016667
[7,8[	7.5	1	0.016667	0.05	0.016667
[8,9[	8.5	0	0	0.05	0
[9,10[	9.5	5	0.083333	0.133333	0.083333
[10,11[	10.5	1	0.016667	0.15	0.016667
[11,12[	11.5	3	0.05	0.2	0.05
[12,13[	12.5	3	0.05	0.25	0.05
[13,14[	13.5	2	0.033333	0.283333	0.033333
[14,15[	14.5	8	0.133333	0.416667	0.133333
[15,16[	15.5	3	0.05	0.466667	0.05
[16,17[	16.5	4	0.066667	0.533333	0.066667
[17,18[	17.5	5	0.083333	0.616667	0.083333
[18,19[	18.5	10	0.166667	0.783333	0.166667
[19,20[	19.5	6	0.1	0.883333	0.1
[20,21[	20.5	1	0.016667	0.9	0.016667
[21,22]	21.5	6	0.1	1	0.1

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,6[ & 5.5 & 1 & 0.016667 & 0.016667 & 0.016667 \tabularnewline
[6,7[ & 6.5 & 1 & 0.016667 & 0.033333 & 0.016667 \tabularnewline
[7,8[ & 7.5 & 1 & 0.016667 & 0.05 & 0.016667 \tabularnewline
[8,9[ & 8.5 & 0 & 0 & 0.05 & 0 \tabularnewline
[9,10[ & 9.5 & 5 & 0.083333 & 0.133333 & 0.083333 \tabularnewline
[10,11[ & 10.5 & 1 & 0.016667 & 0.15 & 0.016667 \tabularnewline
[11,12[ & 11.5 & 3 & 0.05 & 0.2 & 0.05 \tabularnewline
[12,13[ & 12.5 & 3 & 0.05 & 0.25 & 0.05 \tabularnewline
[13,14[ & 13.5 & 2 & 0.033333 & 0.283333 & 0.033333 \tabularnewline
[14,15[ & 14.5 & 8 & 0.133333 & 0.416667 & 0.133333 \tabularnewline
[15,16[ & 15.5 & 3 & 0.05 & 0.466667 & 0.05 \tabularnewline
[16,17[ & 16.5 & 4 & 0.066667 & 0.533333 & 0.066667 \tabularnewline
[17,18[ & 17.5 & 5 & 0.083333 & 0.616667 & 0.083333 \tabularnewline
[18,19[ & 18.5 & 10 & 0.166667 & 0.783333 & 0.166667 \tabularnewline
[19,20[ & 19.5 & 6 & 0.1 & 0.883333 & 0.1 \tabularnewline
[20,21[ & 20.5 & 1 & 0.016667 & 0.9 & 0.016667 \tabularnewline
[21,22] & 21.5 & 6 & 0.1 & 1 & 0.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18024&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][5,6[[/C][C]5.5[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.016667[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]1[/C][C]0.016667[/C][C]0.033333[/C][C]0.016667[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]1[/C][C]0.016667[/C][C]0.05[/C][C]0.016667[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]5[/C][C]0.083333[/C][C]0.133333[/C][C]0.083333[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]1[/C][C]0.016667[/C][C]0.15[/C][C]0.016667[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]3[/C][C]0.05[/C][C]0.2[/C][C]0.05[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]3[/C][C]0.05[/C][C]0.25[/C][C]0.05[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]2[/C][C]0.033333[/C][C]0.283333[/C][C]0.033333[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]8[/C][C]0.133333[/C][C]0.416667[/C][C]0.133333[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]3[/C][C]0.05[/C][C]0.466667[/C][C]0.05[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]4[/C][C]0.066667[/C][C]0.533333[/C][C]0.066667[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]5[/C][C]0.083333[/C][C]0.616667[/C][C]0.083333[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]10[/C][C]0.166667[/C][C]0.783333[/C][C]0.166667[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]6[/C][C]0.1[/C][C]0.883333[/C][C]0.1[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]1[/C][C]0.016667[/C][C]0.9[/C][C]0.016667[/C][/ROW]
[ROW][C][21,22][/C][C]21.5[/C][C]6[/C][C]0.1[/C][C]1[/C][C]0.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18024&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18024&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
[5,6[	5.5	1	0.016667	0.016667	0.016667
[6,7[	6.5	1	0.016667	0.033333	0.016667
[7,8[	7.5	1	0.016667	0.05	0.016667
[8,9[	8.5	0	0	0.05	0
[9,10[	9.5	5	0.083333	0.133333	0.083333
[10,11[	10.5	1	0.016667	0.15	0.016667
[11,12[	11.5	3	0.05	0.2	0.05
[12,13[	12.5	3	0.05	0.25	0.05
[13,14[	13.5	2	0.033333	0.283333	0.033333
[14,15[	14.5	8	0.133333	0.416667	0.133333
[15,16[	15.5	3	0.05	0.466667	0.05
[16,17[	16.5	4	0.066667	0.533333	0.066667
[17,18[	17.5	5	0.083333	0.616667	0.083333
[18,19[	18.5	10	0.166667	0.783333	0.166667
[19,20[	19.5	6	0.1	0.883333	0.1
[20,21[	20.5	1	0.016667	0.9	0.016667
[21,22]	21.5	6	0.1	1	0.1

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