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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 19 Aug 2013 04:14:40 -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/2013/Aug/19/t1376900199zl1l8van11moxdm.htm/, Retrieved Thu, 02 May 2024 22:24:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211201, Retrieved Thu, 02 May 2024 22:24:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel e...] [2013-08-19 08:14:40] [3e2b14d12dd0cca2f2b67dfbdf2cdaf9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12960
12480
13200
10560
13680
13440
14400
14880
16560
14400
13680
17040
14400
10800
12720
9600
13440
11040
14640
13200
13920
15600
15360
18240
13200
11040
12240
8880
12720
9840
13920
13200
11760
16800
15120
17280
12960
12000
10800
8880
11760
10560
14400
13920
12000
16080
14880
19200
15360
9360
9360
9360
11040
11040
14880
13680
12240
15360
14160
20400
16080
9360
9840
8160
11280
12960
16320
16080
12960
15120
13440
19200
14640
11760
10560
7920
11760
14160
16560
15600
11520
16560
12960
19920
16560
12000
11040
7440
11760
11280
17040
17040
12960
16800
12480
19440
16560
12240
9360
6480
12720
12240
16080
18480
13680
15360
11520
19920

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211201&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211201&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211201&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6000,8000[700030.0277780.0277781.4e-05
[8000,10000[9000110.1018520.129635.1e-05
[10000,12000[11000190.1759260.3055568.8e-05
[12000,14000[13000320.2962960.6018520.000148
[14000,16000[15000190.1759260.7777788.8e-05
[16000,18000[17000160.1481480.9259267.4e-05
[18000,20000[1900070.0648150.9907413.2e-05
[20000,22000]2100010.00925915e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6000,8000[ & 7000 & 3 & 0.027778 & 0.027778 & 1.4e-05 \tabularnewline
[8000,10000[ & 9000 & 11 & 0.101852 & 0.12963 & 5.1e-05 \tabularnewline
[10000,12000[ & 11000 & 19 & 0.175926 & 0.305556 & 8.8e-05 \tabularnewline
[12000,14000[ & 13000 & 32 & 0.296296 & 0.601852 & 0.000148 \tabularnewline
[14000,16000[ & 15000 & 19 & 0.175926 & 0.777778 & 8.8e-05 \tabularnewline
[16000,18000[ & 17000 & 16 & 0.148148 & 0.925926 & 7.4e-05 \tabularnewline
[18000,20000[ & 19000 & 7 & 0.064815 & 0.990741 & 3.2e-05 \tabularnewline
[20000,22000] & 21000 & 1 & 0.009259 & 1 & 5e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211201&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][6000,8000[[/C][C]7000[/C][C]3[/C][C]0.027778[/C][C]0.027778[/C][C]1.4e-05[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]11[/C][C]0.101852[/C][C]0.12963[/C][C]5.1e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]19[/C][C]0.175926[/C][C]0.305556[/C][C]8.8e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]32[/C][C]0.296296[/C][C]0.601852[/C][C]0.000148[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]19[/C][C]0.175926[/C][C]0.777778[/C][C]8.8e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]16[/C][C]0.148148[/C][C]0.925926[/C][C]7.4e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]7[/C][C]0.064815[/C][C]0.990741[/C][C]3.2e-05[/C][/ROW]
[ROW][C][20000,22000][/C][C]21000[/C][C]1[/C][C]0.009259[/C][C]1[/C][C]5e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211201&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211201&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6000,8000[700030.0277780.0277781.4e-05
[8000,10000[9000110.1018520.129635.1e-05
[10000,12000[11000190.1759260.3055568.8e-05
[12000,14000[13000320.2962960.6018520.000148
[14000,16000[15000190.1759260.7777788.8e-05
[16000,18000[17000160.1481480.9259267.4e-05
[18000,20000[1900070.0648150.9907413.2e-05
[20000,22000]2100010.00925915e-06


Figures (Output of Computation)

Input Parameters & R Code

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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}