FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 27 Sep 2014 10:31:36 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Sep/27/t1411810342yxvrbagr703kjdq.htm/, Retrieved Fri, 10 May 2024 07:14:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236467, Retrieved Fri, 10 May 2024 07:14:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Asielverzoeken] [2014-09-18 17:37:59] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [Asielverzoeken (2...] [2014-09-27 09:31:36] [db747b603bff859876183158e28e8010] [Current]
- R P       [Histogram] [Asielverzoeken - ...] [2014-12-07 12:29:13] [d6f927dc0a8b596f0d572046df4da00c]
- R P       [Histogram] [Asielverzoeken - ...] [2014-12-07 12:33:58] [d6f927dc0a8b596f0d572046df4da00c]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1060
1050
1025
1085
1160
1310
1445
1445
1615
1650
1255
1175
1300
1280
1390
1340
1110
1325
1265
1150
1430
1655
1570
1345
1430
1260
1495
1125
895
1085
870
1185
1455
1540
1615
1200
1260
1095
1160
1095
1300
1215
1245
1350
1300
1280
1270
1065
1340
1265
1155
930
880
925
980
1015
1040
1365
1160
1115
1630
1225
1200
1265
1140
1270
1445
1305
1665
1830
1690
1520

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236467&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236467&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236467&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 time0 seconds
R Server'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[800,900[85030.0416670.0416670.000417
[900,1000[95030.0416670.0833330.000417
[1000,1100[1050100.1388890.2222220.001389
[1100,1200[1150110.1527780.3750.001528
[1200,1300[1250150.2083330.5833330.002083
[1300,1400[1350120.1666670.750.001667
[1400,1500[145070.0972220.8472220.000972
[1500,1600[155030.0416670.8888890.000417
[1600,1700[165070.0972220.9861110.000972
[1700,1800[1750000.9861110
[1800,1900]185010.01388910.000139

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[800,900[ & 850 & 3 & 0.041667 & 0.041667 & 0.000417 \tabularnewline
[900,1000[ & 950 & 3 & 0.041667 & 0.083333 & 0.000417 \tabularnewline
[1000,1100[ & 1050 & 10 & 0.138889 & 0.222222 & 0.001389 \tabularnewline
[1100,1200[ & 1150 & 11 & 0.152778 & 0.375 & 0.001528 \tabularnewline
[1200,1300[ & 1250 & 15 & 0.208333 & 0.583333 & 0.002083 \tabularnewline
[1300,1400[ & 1350 & 12 & 0.166667 & 0.75 & 0.001667 \tabularnewline
[1400,1500[ & 1450 & 7 & 0.097222 & 0.847222 & 0.000972 \tabularnewline
[1500,1600[ & 1550 & 3 & 0.041667 & 0.888889 & 0.000417 \tabularnewline
[1600,1700[ & 1650 & 7 & 0.097222 & 0.986111 & 0.000972 \tabularnewline
[1700,1800[ & 1750 & 0 & 0 & 0.986111 & 0 \tabularnewline
[1800,1900] & 1850 & 1 & 0.013889 & 1 & 0.000139 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236467&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][800,900[[/C][C]850[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.000417[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]3[/C][C]0.041667[/C][C]0.083333[/C][C]0.000417[/C][/ROW]
[ROW][C][1000,1100[[/C][C]1050[/C][C]10[/C][C]0.138889[/C][C]0.222222[/C][C]0.001389[/C][/ROW]
[ROW][C][1100,1200[[/C][C]1150[/C][C]11[/C][C]0.152778[/C][C]0.375[/C][C]0.001528[/C][/ROW]
[ROW][C][1200,1300[[/C][C]1250[/C][C]15[/C][C]0.208333[/C][C]0.583333[/C][C]0.002083[/C][/ROW]
[ROW][C][1300,1400[[/C][C]1350[/C][C]12[/C][C]0.166667[/C][C]0.75[/C][C]0.001667[/C][/ROW]
[ROW][C][1400,1500[[/C][C]1450[/C][C]7[/C][C]0.097222[/C][C]0.847222[/C][C]0.000972[/C][/ROW]
[ROW][C][1500,1600[[/C][C]1550[/C][C]3[/C][C]0.041667[/C][C]0.888889[/C][C]0.000417[/C][/ROW]
[ROW][C][1600,1700[[/C][C]1650[/C][C]7[/C][C]0.097222[/C][C]0.986111[/C][C]0.000972[/C][/ROW]
[ROW][C][1700,1800[[/C][C]1750[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][1800,1900][/C][C]1850[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000139[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236467&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236467&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
[800,900[85030.0416670.0416670.000417
[900,1000[95030.0416670.0833330.000417
[1000,1100[1050100.1388890.2222220.001389
[1100,1200[1150110.1527780.3750.001528
[1200,1300[1250150.2083330.5833330.002083
[1300,1400[1350120.1666670.750.001667
[1400,1500[145070.0972220.8472220.000972
[1500,1600[155030.0416670.8888890.000417
[1600,1700[165070.0972220.9861110.000972
[1700,1800[1750000.9861110
[1800,1900]185010.01388910.000139


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ; 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 <- '4'
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')
}