Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 02 Dec 2012 07:50:29 -0500
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/Dec/02/t1354452733j61gpaoomwjs61u.htm/, Retrieved Thu, 31 Oct 2024 23:17:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195470, Retrieved Thu, 31 Oct 2024 23:17:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Dichtheidsgrafiek] [2012-12-02 12:50:29] [50b2e07c322f56d9c76b19a7ea7f6b48] [Current]
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Dataseries X:
10
9.99
9.95
9.96
9.97
9.95
9.94
9.9
9.9
9.92
9.87
9.96
9.94
9.96
9.96
9.89
9.82
9.83
9.83
9.82
9.77
9.66
9.69
9.67
9.7
9.77
9.79
9.81
9.77
9.78
9.77
9.79
9.77
9.77
9.8
9.8
9.8
9.8
9.76
9.78
9.77
9.79
9.81
9.82
9.84
9.87
9.99
9.99
9.99
10.08
10.06
10.08
10.07
10.04
10.04
10.12
10.1
10.11
10.13
10.16
10.15
10.25
10.41
10.46
10.46
10.5
10.5
10.48
10.5
10.5
10.53
10.53




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195470&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195470&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195470&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9.6,9.7[9.6530.0416670.0416670.416667
[9.7,9.8[9.75140.1944440.2361111.944444
[9.8,9.9[9.85150.2083330.4444442.083333
[9.9,10[9.95160.2222220.6666672.222222
[10,10.1[10.0570.0972220.7638890.972222
[10.1,10.2[10.1560.0833330.8472220.833333
[10.2,10.3[10.2510.0138890.8611110.138889
[10.3,10.4[10.35000.8611110
[10.4,10.5[10.4540.0555560.9166670.555556
[10.5,10.6]10.5560.08333310.833333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9.6,9.7[ & 9.65 & 3 & 0.041667 & 0.041667 & 0.416667 \tabularnewline
[9.7,9.8[ & 9.75 & 14 & 0.194444 & 0.236111 & 1.944444 \tabularnewline
[9.8,9.9[ & 9.85 & 15 & 0.208333 & 0.444444 & 2.083333 \tabularnewline
[9.9,10[ & 9.95 & 16 & 0.222222 & 0.666667 & 2.222222 \tabularnewline
[10,10.1[ & 10.05 & 7 & 0.097222 & 0.763889 & 0.972222 \tabularnewline
[10.1,10.2[ & 10.15 & 6 & 0.083333 & 0.847222 & 0.833333 \tabularnewline
[10.2,10.3[ & 10.25 & 1 & 0.013889 & 0.861111 & 0.138889 \tabularnewline
[10.3,10.4[ & 10.35 & 0 & 0 & 0.861111 & 0 \tabularnewline
[10.4,10.5[ & 10.45 & 4 & 0.055556 & 0.916667 & 0.555556 \tabularnewline
[10.5,10.6] & 10.55 & 6 & 0.083333 & 1 & 0.833333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195470&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][9.6,9.7[[/C][C]9.65[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.416667[/C][/ROW]
[ROW][C][9.7,9.8[[/C][C]9.75[/C][C]14[/C][C]0.194444[/C][C]0.236111[/C][C]1.944444[/C][/ROW]
[ROW][C][9.8,9.9[[/C][C]9.85[/C][C]15[/C][C]0.208333[/C][C]0.444444[/C][C]2.083333[/C][/ROW]
[ROW][C][9.9,10[[/C][C]9.95[/C][C]16[/C][C]0.222222[/C][C]0.666667[/C][C]2.222222[/C][/ROW]
[ROW][C][10,10.1[[/C][C]10.05[/C][C]7[/C][C]0.097222[/C][C]0.763889[/C][C]0.972222[/C][/ROW]
[ROW][C][10.1,10.2[[/C][C]10.15[/C][C]6[/C][C]0.083333[/C][C]0.847222[/C][C]0.833333[/C][/ROW]
[ROW][C][10.2,10.3[[/C][C]10.25[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.138889[/C][/ROW]
[ROW][C][10.3,10.4[[/C][C]10.35[/C][C]0[/C][C]0[/C][C]0.861111[/C][C]0[/C][/ROW]
[ROW][C][10.4,10.5[[/C][C]10.45[/C][C]4[/C][C]0.055556[/C][C]0.916667[/C][C]0.555556[/C][/ROW]
[ROW][C][10.5,10.6][/C][C]10.55[/C][C]6[/C][C]0.083333[/C][C]1[/C][C]0.833333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195470&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195470&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
[9.6,9.7[9.6530.0416670.0416670.416667
[9.7,9.8[9.75140.1944440.2361111.944444
[9.8,9.9[9.85150.2083330.4444442.083333
[9.9,10[9.95160.2222220.6666672.222222
[10,10.1[10.0570.0972220.7638890.972222
[10.1,10.2[10.1560.0833330.8472220.833333
[10.2,10.3[10.2510.0138890.8611110.138889
[10.3,10.4[10.35000.8611110
[10.4,10.5[10.4540.0555560.9166670.555556
[10.5,10.6]10.5560.08333310.833333



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.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')
}