FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 14 Dec 2012 07:18:31 -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/14/t135548752601txv0wjyv1gyyc.htm/, Retrieved Fri, 26 Apr 2024 21:11:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199515, Retrieved Fri, 26 Apr 2024 21:11:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [assignment 2] [2011-11-16 16:12:29] [a2638725f7f7c6bd63902ba17eba666b]
- R  D    [Histogram] [Paper deel 3] [2012-12-14 12:18:31] [413ae3079a2d7d57ac33b6b2184bdf0e] [Current]
Feedback Forum

Post a new message

Dataset

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199515&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199515&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,150]125240.1666670.1666670.003333
]150,200]175240.1666670.3333330.003333
]200,250]225210.1458330.4791670.002917
]250,300]275130.0902780.5694440.001806
]300,350]325210.1458330.7152780.002917
]350,400]375130.0902780.8055560.001806
]400,450]425130.0902780.8958330.001806
]450,500]47580.0555560.9513890.001111
]500,550]52540.0277780.9791670.000556
]550,600]57510.0069440.9861110.000139
]600,650]62520.01388910.000278

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,150] & 125 & 24 & 0.166667 & 0.166667 & 0.003333 \tabularnewline
]150,200] & 175 & 24 & 0.166667 & 0.333333 & 0.003333 \tabularnewline
]200,250] & 225 & 21 & 0.145833 & 0.479167 & 0.002917 \tabularnewline
]250,300] & 275 & 13 & 0.090278 & 0.569444 & 0.001806 \tabularnewline
]300,350] & 325 & 21 & 0.145833 & 0.715278 & 0.002917 \tabularnewline
]350,400] & 375 & 13 & 0.090278 & 0.805556 & 0.001806 \tabularnewline
]400,450] & 425 & 13 & 0.090278 & 0.895833 & 0.001806 \tabularnewline
]450,500] & 475 & 8 & 0.055556 & 0.951389 & 0.001111 \tabularnewline
]500,550] & 525 & 4 & 0.027778 & 0.979167 & 0.000556 \tabularnewline
]550,600] & 575 & 1 & 0.006944 & 0.986111 & 0.000139 \tabularnewline
]600,650] & 625 & 2 & 0.013889 & 1 & 0.000278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199515&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][100,150][/C][C]125[/C][C]24[/C][C]0.166667[/C][C]0.166667[/C][C]0.003333[/C][/ROW]
[ROW][C]]150,200][/C][C]175[/C][C]24[/C][C]0.166667[/C][C]0.333333[/C][C]0.003333[/C][/ROW]
[ROW][C]]200,250][/C][C]225[/C][C]21[/C][C]0.145833[/C][C]0.479167[/C][C]0.002917[/C][/ROW]
[ROW][C]]250,300][/C][C]275[/C][C]13[/C][C]0.090278[/C][C]0.569444[/C][C]0.001806[/C][/ROW]
[ROW][C]]300,350][/C][C]325[/C][C]21[/C][C]0.145833[/C][C]0.715278[/C][C]0.002917[/C][/ROW]
[ROW][C]]350,400][/C][C]375[/C][C]13[/C][C]0.090278[/C][C]0.805556[/C][C]0.001806[/C][/ROW]
[ROW][C]]400,450][/C][C]425[/C][C]13[/C][C]0.090278[/C][C]0.895833[/C][C]0.001806[/C][/ROW]
[ROW][C]]450,500][/C][C]475[/C][C]8[/C][C]0.055556[/C][C]0.951389[/C][C]0.001111[/C][/ROW]
[ROW][C]]500,550][/C][C]525[/C][C]4[/C][C]0.027778[/C][C]0.979167[/C][C]0.000556[/C][/ROW]
[ROW][C]]550,600][/C][C]575[/C][C]1[/C][C]0.006944[/C][C]0.986111[/C][C]0.000139[/C][/ROW]
[ROW][C]]600,650][/C][C]625[/C][C]2[/C][C]0.013889[/C][C]1[/C][C]0.000278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199515&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
[100,150]125240.1666670.1666670.003333
]150,200]175240.1666670.3333330.003333
]200,250]225210.1458330.4791670.002917
]250,300]275130.0902780.5694440.001806
]300,350]325210.1458330.7152780.002917
]350,400]375130.0902780.8055560.001806
]400,450]425130.0902780.8958330.001806
]450,500]47580.0555560.9513890.001111
]500,550]52540.0277780.9791670.000556
]550,600]57510.0069440.9861110.000139
]600,650]62520.01388910.000278


Figures (Output of Computation)

Input Parameters & R Code

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