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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 12 Feb 2009 02:42:59 -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/2009/Feb/12/t1234431821nno7o5551jof9h3.htm/, Retrieved Thu, 09 May 2024 21:06:38 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37346, Retrieved Thu, 09 May 2024 21:06:38 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

191

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

-     [Univariate Data Series] [Nieuwe geregistre...] [2009-02-08 12:08:37] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [Nieuwe geregistre...] [2009-02-12 09:42:59] [d41d8cd98f00b204e9800998ecf8427e] [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 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=37346&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=37346&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37346&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
[2000,3000[	2500	2	0.02381	0.02381	2.4e-05
[3000,4000[	3500	0	0	0.02381	0
[4000,5000[	4500	0	0	0.02381	0
[5000,6000[	5500	5	0.059524	0.083333	6e-05
[6000,7000[	6500	6	0.071429	0.154762	7.1e-05
[7000,8000[	7500	6	0.071429	0.22619	7.1e-05
[8000,9000[	8500	4	0.047619	0.27381	4.8e-05
[9000,10000[	9500	9	0.107143	0.380952	0.000107
[10000,11000[	10500	5	0.059524	0.440476	6e-05
[11000,12000[	11500	7	0.083333	0.52381	8.3e-05
[12000,13000[	12500	9	0.107143	0.630952	0.000107
[13000,14000[	13500	5	0.059524	0.690476	6e-05
[14000,15000[	14500	3	0.035714	0.72619	3.6e-05
[15000,16000[	15500	6	0.071429	0.797619	7.1e-05
[16000,17000[	16500	5	0.059524	0.857143	6e-05
[17000,18000[	17500	3	0.035714	0.892857	3.6e-05
[18000,19000[	18500	4	0.047619	0.940476	4.8e-05
[19000,20000[	19500	4	0.047619	0.988095	4.8e-05
[20000,21000[	20500	0	0	0.988095	0
[21000,22000]	21500	1	0.011905	1	1.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2000,3000[ & 2500 & 2 & 0.02381 & 0.02381 & 2.4e-05 \tabularnewline
[3000,4000[ & 3500 & 0 & 0 & 0.02381 & 0 \tabularnewline
[4000,5000[ & 4500 & 0 & 0 & 0.02381 & 0 \tabularnewline
[5000,6000[ & 5500 & 5 & 0.059524 & 0.083333 & 6e-05 \tabularnewline
[6000,7000[ & 6500 & 6 & 0.071429 & 0.154762 & 7.1e-05 \tabularnewline
[7000,8000[ & 7500 & 6 & 0.071429 & 0.22619 & 7.1e-05 \tabularnewline
[8000,9000[ & 8500 & 4 & 0.047619 & 0.27381 & 4.8e-05 \tabularnewline
[9000,10000[ & 9500 & 9 & 0.107143 & 0.380952 & 0.000107 \tabularnewline
[10000,11000[ & 10500 & 5 & 0.059524 & 0.440476 & 6e-05 \tabularnewline
[11000,12000[ & 11500 & 7 & 0.083333 & 0.52381 & 8.3e-05 \tabularnewline
[12000,13000[ & 12500 & 9 & 0.107143 & 0.630952 & 0.000107 \tabularnewline
[13000,14000[ & 13500 & 5 & 0.059524 & 0.690476 & 6e-05 \tabularnewline
[14000,15000[ & 14500 & 3 & 0.035714 & 0.72619 & 3.6e-05 \tabularnewline
[15000,16000[ & 15500 & 6 & 0.071429 & 0.797619 & 7.1e-05 \tabularnewline
[16000,17000[ & 16500 & 5 & 0.059524 & 0.857143 & 6e-05 \tabularnewline
[17000,18000[ & 17500 & 3 & 0.035714 & 0.892857 & 3.6e-05 \tabularnewline
[18000,19000[ & 18500 & 4 & 0.047619 & 0.940476 & 4.8e-05 \tabularnewline
[19000,20000[ & 19500 & 4 & 0.047619 & 0.988095 & 4.8e-05 \tabularnewline
[20000,21000[ & 20500 & 0 & 0 & 0.988095 & 0 \tabularnewline
[21000,22000] & 21500 & 1 & 0.011905 & 1 & 1.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37346&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][2000,3000[[/C][C]2500[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]2.4e-05[/C][/ROW]
[ROW][C][3000,4000[[/C][C]3500[/C][C]0[/C][C]0[/C][C]0.02381[/C][C]0[/C][/ROW]
[ROW][C][4000,5000[[/C][C]4500[/C][C]0[/C][C]0[/C][C]0.02381[/C][C]0[/C][/ROW]
[ROW][C][5000,6000[[/C][C]5500[/C][C]5[/C][C]0.059524[/C][C]0.083333[/C][C]6e-05[/C][/ROW]
[ROW][C][6000,7000[[/C][C]6500[/C][C]6[/C][C]0.071429[/C][C]0.154762[/C][C]7.1e-05[/C][/ROW]
[ROW][C][7000,8000[[/C][C]7500[/C][C]6[/C][C]0.071429[/C][C]0.22619[/C][C]7.1e-05[/C][/ROW]
[ROW][C][8000,9000[[/C][C]8500[/C][C]4[/C][C]0.047619[/C][C]0.27381[/C][C]4.8e-05[/C][/ROW]
[ROW][C][9000,10000[[/C][C]9500[/C][C]9[/C][C]0.107143[/C][C]0.380952[/C][C]0.000107[/C][/ROW]
[ROW][C][10000,11000[[/C][C]10500[/C][C]5[/C][C]0.059524[/C][C]0.440476[/C][C]6e-05[/C][/ROW]
[ROW][C][11000,12000[[/C][C]11500[/C][C]7[/C][C]0.083333[/C][C]0.52381[/C][C]8.3e-05[/C][/ROW]
[ROW][C][12000,13000[[/C][C]12500[/C][C]9[/C][C]0.107143[/C][C]0.630952[/C][C]0.000107[/C][/ROW]
[ROW][C][13000,14000[[/C][C]13500[/C][C]5[/C][C]0.059524[/C][C]0.690476[/C][C]6e-05[/C][/ROW]
[ROW][C][14000,15000[[/C][C]14500[/C][C]3[/C][C]0.035714[/C][C]0.72619[/C][C]3.6e-05[/C][/ROW]
[ROW][C][15000,16000[[/C][C]15500[/C][C]6[/C][C]0.071429[/C][C]0.797619[/C][C]7.1e-05[/C][/ROW]
[ROW][C][16000,17000[[/C][C]16500[/C][C]5[/C][C]0.059524[/C][C]0.857143[/C][C]6e-05[/C][/ROW]
[ROW][C][17000,18000[[/C][C]17500[/C][C]3[/C][C]0.035714[/C][C]0.892857[/C][C]3.6e-05[/C][/ROW]
[ROW][C][18000,19000[[/C][C]18500[/C][C]4[/C][C]0.047619[/C][C]0.940476[/C][C]4.8e-05[/C][/ROW]
[ROW][C][19000,20000[[/C][C]19500[/C][C]4[/C][C]0.047619[/C][C]0.988095[/C][C]4.8e-05[/C][/ROW]
[ROW][C][20000,21000[[/C][C]20500[/C][C]0[/C][C]0[/C][C]0.988095[/C][C]0[/C][/ROW]
[ROW][C][21000,22000][/C][C]21500[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]1.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37346&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37346&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
[2000,3000[	2500	2	0.02381	0.02381	2.4e-05
[3000,4000[	3500	0	0	0.02381	0
[4000,5000[	4500	0	0	0.02381	0
[5000,6000[	5500	5	0.059524	0.083333	6e-05
[6000,7000[	6500	6	0.071429	0.154762	7.1e-05
[7000,8000[	7500	6	0.071429	0.22619	7.1e-05
[8000,9000[	8500	4	0.047619	0.27381	4.8e-05
[9000,10000[	9500	9	0.107143	0.380952	0.000107
[10000,11000[	10500	5	0.059524	0.440476	6e-05
[11000,12000[	11500	7	0.083333	0.52381	8.3e-05
[12000,13000[	12500	9	0.107143	0.630952	0.000107
[13000,14000[	13500	5	0.059524	0.690476	6e-05
[14000,15000[	14500	3	0.035714	0.72619	3.6e-05
[15000,16000[	15500	6	0.071429	0.797619	7.1e-05
[16000,17000[	16500	5	0.059524	0.857143	6e-05
[17000,18000[	17500	3	0.035714	0.892857	3.6e-05
[18000,19000[	18500	4	0.047619	0.940476	4.8e-05
[19000,20000[	19500	4	0.047619	0.988095	4.8e-05
[20000,21000[	20500	0	0	0.988095	0
[21000,22000]	21500	1	0.011905	1	1.2e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 25 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 25 ; 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