Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 09 Oct 2012 13:34:08 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/09/t1349804079mgwvjctizpclqt9.htm/, Retrieved Wed, 01 May 2024 22:40:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174697, Retrieved Wed, 01 May 2024 22:40:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-09-23 12:22:18] [6105497ce027ddfdc7a18f7b8bfe4146]
- R P     [Histogram] [] [2012-10-09 17:34:08] [2aa9036d98cf3249064494e8c53f9b9c] [Current]
Feedback Forum

Post a new message
Dataseries X:
106.68
109.73
108.06
111.33
105.66
103.65
100.34
100.56
102.67
101.5
102.35
104.98
106.31
103.73
106.62
108.54
105.12
105.29
104.62
104.34
108.23
107.6
106.87
107.96
108.34
109.04
106.95
105.59
108.08
108.48
106.84
105.6
106.9
106.84
106.81
106.98
107.53
107.37
106.98
108.94
106.38
109.02
106.53
105.02
109.7
108.39
110.18
109.54
109.1
110.85
112.23
110.58
110.77
108.08
108.05
108.87
109.61
111.27
107.61
110.98
106.63
106.83
108.77
106.12
106.8
106.34
105.16
107.97
106.76
108.78
105.58
109.22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174697&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174697&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,101[100.520.0277780.0277780.027778
[101,102[101.510.0138890.0416670.013889
[102,103[102.520.0277780.0694440.027778
[103,104[103.520.0277780.0972220.027778
[104,105[104.530.0416670.1388890.041667
[105,106[105.580.1111110.250.111111
[106,107[106.5190.2638890.5138890.263889
[107,108[107.560.0833330.5972220.083333
[108,109[108.5130.1805560.7777780.180556
[109,110[109.580.1111110.8888890.111111
[110,111[110.550.0694440.9583330.069444
[111,112[111.520.0277780.9861110.027778
[112,113]112.510.01388910.013889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,101[ & 100.5 & 2 & 0.027778 & 0.027778 & 0.027778 \tabularnewline
[101,102[ & 101.5 & 1 & 0.013889 & 0.041667 & 0.013889 \tabularnewline
[102,103[ & 102.5 & 2 & 0.027778 & 0.069444 & 0.027778 \tabularnewline
[103,104[ & 103.5 & 2 & 0.027778 & 0.097222 & 0.027778 \tabularnewline
[104,105[ & 104.5 & 3 & 0.041667 & 0.138889 & 0.041667 \tabularnewline
[105,106[ & 105.5 & 8 & 0.111111 & 0.25 & 0.111111 \tabularnewline
[106,107[ & 106.5 & 19 & 0.263889 & 0.513889 & 0.263889 \tabularnewline
[107,108[ & 107.5 & 6 & 0.083333 & 0.597222 & 0.083333 \tabularnewline
[108,109[ & 108.5 & 13 & 0.180556 & 0.777778 & 0.180556 \tabularnewline
[109,110[ & 109.5 & 8 & 0.111111 & 0.888889 & 0.111111 \tabularnewline
[110,111[ & 110.5 & 5 & 0.069444 & 0.958333 & 0.069444 \tabularnewline
[111,112[ & 111.5 & 2 & 0.027778 & 0.986111 & 0.027778 \tabularnewline
[112,113] & 112.5 & 1 & 0.013889 & 1 & 0.013889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174697&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][100,101[[/C][C]100.5[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.027778[/C][/ROW]
[ROW][C][101,102[[/C][C]101.5[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]0.013889[/C][/ROW]
[ROW][C][102,103[[/C][C]102.5[/C][C]2[/C][C]0.027778[/C][C]0.069444[/C][C]0.027778[/C][/ROW]
[ROW][C][103,104[[/C][C]103.5[/C][C]2[/C][C]0.027778[/C][C]0.097222[/C][C]0.027778[/C][/ROW]
[ROW][C][104,105[[/C][C]104.5[/C][C]3[/C][C]0.041667[/C][C]0.138889[/C][C]0.041667[/C][/ROW]
[ROW][C][105,106[[/C][C]105.5[/C][C]8[/C][C]0.111111[/C][C]0.25[/C][C]0.111111[/C][/ROW]
[ROW][C][106,107[[/C][C]106.5[/C][C]19[/C][C]0.263889[/C][C]0.513889[/C][C]0.263889[/C][/ROW]
[ROW][C][107,108[[/C][C]107.5[/C][C]6[/C][C]0.083333[/C][C]0.597222[/C][C]0.083333[/C][/ROW]
[ROW][C][108,109[[/C][C]108.5[/C][C]13[/C][C]0.180556[/C][C]0.777778[/C][C]0.180556[/C][/ROW]
[ROW][C][109,110[[/C][C]109.5[/C][C]8[/C][C]0.111111[/C][C]0.888889[/C][C]0.111111[/C][/ROW]
[ROW][C][110,111[[/C][C]110.5[/C][C]5[/C][C]0.069444[/C][C]0.958333[/C][C]0.069444[/C][/ROW]
[ROW][C][111,112[[/C][C]111.5[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]0.027778[/C][/ROW]
[ROW][C][112,113][/C][C]112.5[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.013889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174697&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)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,101[100.520.0277780.0277780.027778
[101,102[101.510.0138890.0416670.013889
[102,103[102.520.0277780.0694440.027778
[103,104[103.520.0277780.0972220.027778
[104,105[104.530.0416670.1388890.041667
[105,106[105.580.1111110.250.111111
[106,107[106.5190.2638890.5138890.263889
[107,108[107.560.0833330.5972220.083333
[108,109[108.5130.1805560.7777780.180556
[109,110[109.580.1111110.8888890.111111
[110,111[110.550.0694440.9583330.069444
[111,112[111.520.0277780.9861110.027778
[112,113]112.510.01388910.013889



Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')
}