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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 20 Oct 2008 16:45:41 -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/21/t1224542780uhjpkh52rizcpl8.htm/, Retrieved Sun, 19 May 2024 20:58:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18277, Retrieved Sun, 19 May 2024 20:58:58 +0000

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Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

161

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

F       [Histogram] [Histogram: bouwve...] [2008-10-20 22:45:41] [7957bb37a64ed417bbed8444b0b0ea8a] [Current]

Feedback Forum

2008-10-26 10:38:57 [Bonifer Spillemaeckers] [reply] 
Er wordt hier niets van conclusie getrokken. Ik kan hier dus ook geen feedback geven.
2008-10-27 18:15:09 [Evelyn Ongena] [reply] 
Je hebt inderdaad enkel de link in het document vervat, zonder enige uitleg of conclusie wat het moeilijk maakt je hierop te beoordelen.
2008-10-27 19:54:17 [Yara Van Overstraeten] [reply] 
Je hebt inderdaad voor elke gevonden datareeks een simulatie gemaakt, maar er ontbreekt een verdere bespreking van de gevonden waarden. Dit maakt het natuurlijk moeilijk om verdere feedback op te geven. Vergeet dus bij je volgende opdracht geen woordje uitleg te geven bij de links.

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	3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18277&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]3 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=18277&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18277&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1400,1600[	1500	1	0.010309	0.010309	5.2e-05
[1600,1800[	1700	7	0.072165	0.082474	0.000361
[1800,2000[	1900	10	0.103093	0.185567	0.000515
[2000,2200[	2100	23	0.237113	0.42268	0.001186
[2200,2400[	2300	27	0.278351	0.701031	0.001392
[2400,2600[	2500	15	0.154639	0.85567	0.000773
[2600,2800[	2700	5	0.051546	0.907216	0.000258
[2800,3000[	2900	7	0.072165	0.979381	0.000361
[3000,3200[	3100	1	0.010309	0.989691	5.2e-05
[3200,3400[	3300	0	0	0.989691	0
[3400,3600]	3500	1	0.010309	1	5.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1400,1600[ & 1500 & 1 & 0.010309 & 0.010309 & 5.2e-05 \tabularnewline
[1600,1800[ & 1700 & 7 & 0.072165 & 0.082474 & 0.000361 \tabularnewline
[1800,2000[ & 1900 & 10 & 0.103093 & 0.185567 & 0.000515 \tabularnewline
[2000,2200[ & 2100 & 23 & 0.237113 & 0.42268 & 0.001186 \tabularnewline
[2200,2400[ & 2300 & 27 & 0.278351 & 0.701031 & 0.001392 \tabularnewline
[2400,2600[ & 2500 & 15 & 0.154639 & 0.85567 & 0.000773 \tabularnewline
[2600,2800[ & 2700 & 5 & 0.051546 & 0.907216 & 0.000258 \tabularnewline
[2800,3000[ & 2900 & 7 & 0.072165 & 0.979381 & 0.000361 \tabularnewline
[3000,3200[ & 3100 & 1 & 0.010309 & 0.989691 & 5.2e-05 \tabularnewline
[3200,3400[ & 3300 & 0 & 0 & 0.989691 & 0 \tabularnewline
[3400,3600] & 3500 & 1 & 0.010309 & 1 & 5.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18277&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][1400,1600[[/C][C]1500[/C][C]1[/C][C]0.010309[/C][C]0.010309[/C][C]5.2e-05[/C][/ROW]
[ROW][C][1600,1800[[/C][C]1700[/C][C]7[/C][C]0.072165[/C][C]0.082474[/C][C]0.000361[/C][/ROW]
[ROW][C][1800,2000[[/C][C]1900[/C][C]10[/C][C]0.103093[/C][C]0.185567[/C][C]0.000515[/C][/ROW]
[ROW][C][2000,2200[[/C][C]2100[/C][C]23[/C][C]0.237113[/C][C]0.42268[/C][C]0.001186[/C][/ROW]
[ROW][C][2200,2400[[/C][C]2300[/C][C]27[/C][C]0.278351[/C][C]0.701031[/C][C]0.001392[/C][/ROW]
[ROW][C][2400,2600[[/C][C]2500[/C][C]15[/C][C]0.154639[/C][C]0.85567[/C][C]0.000773[/C][/ROW]
[ROW][C][2600,2800[[/C][C]2700[/C][C]5[/C][C]0.051546[/C][C]0.907216[/C][C]0.000258[/C][/ROW]
[ROW][C][2800,3000[[/C][C]2900[/C][C]7[/C][C]0.072165[/C][C]0.979381[/C][C]0.000361[/C][/ROW]
[ROW][C][3000,3200[[/C][C]3100[/C][C]1[/C][C]0.010309[/C][C]0.989691[/C][C]5.2e-05[/C][/ROW]
[ROW][C][3200,3400[[/C][C]3300[/C][C]0[/C][C]0[/C][C]0.989691[/C][C]0[/C][/ROW]
[ROW][C][3400,3600][/C][C]3500[/C][C]1[/C][C]0.010309[/C][C]1[/C][C]5.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18277&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18277&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
[1400,1600[	1500	1	0.010309	0.010309	5.2e-05
[1600,1800[	1700	7	0.072165	0.082474	0.000361
[1800,2000[	1900	10	0.103093	0.185567	0.000515
[2000,2200[	2100	23	0.237113	0.42268	0.001186
[2200,2400[	2300	27	0.278351	0.701031	0.001392
[2400,2600[	2500	15	0.154639	0.85567	0.000773
[2600,2800[	2700	5	0.051546	0.907216	0.000258
[2800,3000[	2900	7	0.072165	0.979381	0.000361
[3000,3200[	3100	1	0.010309	0.989691	5.2e-05
[3200,3400[	3300	0	0	0.989691	0
[3400,3600]	3500	1	0.010309	1	5.2e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = ; 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