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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, 09 Dec 2011 08:33:00 -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/2011/Dec/09/t13234376013icqqs28ae3hjuu.htm/, Retrieved Thu, 02 May 2024 21:19:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153347, Retrieved Thu, 02 May 2024 21:19:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Histogram] [Frequency Plot (C...] [2010-09-25 09:09:15] [b98453cac15ba1066b407e146608df68]
F    D  [Histogram] [Task 1 - Frequenc...] [2010-10-01 10:37:37] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R PD      [Histogram] [Histogram] [2011-12-09 13:33:00] [7524f34f9c6610426249911bb0d7f59b] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
921365
987921
1132614
1332224
1418133
1411549
1695920
1636173
1539653
1395314
1127575
1036076
989236
1008380
1207763
1368839
1469798
1498721
1761761
1653214
1599104
1421179
1163995
1037735
1015407
1039210
1258049
1469445
1552346
1549144
1785895
1662335
1629440
1467430
1202209
1076982
1039367
1063449
1335135
1491602
1591972
1641248
1898849
1798580
1762444
1622044
1368955
1262973
1269530
1479279
1607819
1721466
1721766
1949843
1821326
1757802
1590367
1260647
1149235
1016367
1027885
1262159
1520854
1544144
1564709
1821776
1741365
1623386
1498658
1241822
1136029
1035030
1078521
1279431
1171023
1573377
1589514
1859878
1783191
1689849
1619868
1323443
1177481

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'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=153347&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=153347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153347&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9e+05,1e+06[95000030.0361450.0361450
[1e+06,1100000[1050000120.1445780.1807231e-06
[1100000,1200000[115000070.0843370.265061e-06
[1200000,1300000[125000090.1084340.3734941e-06
[1300000,1400000[135000060.0722890.4457831e-06
[1400000,1500000[1450000100.1204820.5662651e-06
[1500000,1600000[1550000110.132530.6987951e-06
[1600000,1700000[1650000110.132530.8313251e-06
[1700000,1800000[175000090.1084340.9397591e-06
[1800000,1900000[185000040.0481930.9879520
[1900000,2e+06]195000010.01204810

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9e+05,1e+06[ & 950000 & 3 & 0.036145 & 0.036145 & 0 \tabularnewline
[1e+06,1100000[ & 1050000 & 12 & 0.144578 & 0.180723 & 1e-06 \tabularnewline
[1100000,1200000[ & 1150000 & 7 & 0.084337 & 0.26506 & 1e-06 \tabularnewline
[1200000,1300000[ & 1250000 & 9 & 0.108434 & 0.373494 & 1e-06 \tabularnewline
[1300000,1400000[ & 1350000 & 6 & 0.072289 & 0.445783 & 1e-06 \tabularnewline
[1400000,1500000[ & 1450000 & 10 & 0.120482 & 0.566265 & 1e-06 \tabularnewline
[1500000,1600000[ & 1550000 & 11 & 0.13253 & 0.698795 & 1e-06 \tabularnewline
[1600000,1700000[ & 1650000 & 11 & 0.13253 & 0.831325 & 1e-06 \tabularnewline
[1700000,1800000[ & 1750000 & 9 & 0.108434 & 0.939759 & 1e-06 \tabularnewline
[1800000,1900000[ & 1850000 & 4 & 0.048193 & 0.987952 & 0 \tabularnewline
[1900000,2e+06] & 1950000 & 1 & 0.012048 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153347&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][9e+05,1e+06[[/C][C]950000[/C][C]3[/C][C]0.036145[/C][C]0.036145[/C][C]0[/C][/ROW]
[ROW][C][1e+06,1100000[[/C][C]1050000[/C][C]12[/C][C]0.144578[/C][C]0.180723[/C][C]1e-06[/C][/ROW]
[ROW][C][1100000,1200000[[/C][C]1150000[/C][C]7[/C][C]0.084337[/C][C]0.26506[/C][C]1e-06[/C][/ROW]
[ROW][C][1200000,1300000[[/C][C]1250000[/C][C]9[/C][C]0.108434[/C][C]0.373494[/C][C]1e-06[/C][/ROW]
[ROW][C][1300000,1400000[[/C][C]1350000[/C][C]6[/C][C]0.072289[/C][C]0.445783[/C][C]1e-06[/C][/ROW]
[ROW][C][1400000,1500000[[/C][C]1450000[/C][C]10[/C][C]0.120482[/C][C]0.566265[/C][C]1e-06[/C][/ROW]
[ROW][C][1500000,1600000[[/C][C]1550000[/C][C]11[/C][C]0.13253[/C][C]0.698795[/C][C]1e-06[/C][/ROW]
[ROW][C][1600000,1700000[[/C][C]1650000[/C][C]11[/C][C]0.13253[/C][C]0.831325[/C][C]1e-06[/C][/ROW]
[ROW][C][1700000,1800000[[/C][C]1750000[/C][C]9[/C][C]0.108434[/C][C]0.939759[/C][C]1e-06[/C][/ROW]
[ROW][C][1800000,1900000[[/C][C]1850000[/C][C]4[/C][C]0.048193[/C][C]0.987952[/C][C]0[/C][/ROW]
[ROW][C][1900000,2e+06][/C][C]1950000[/C][C]1[/C][C]0.012048[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153347&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
[9e+05,1e+06[95000030.0361450.0361450
[1e+06,1100000[1050000120.1445780.1807231e-06
[1100000,1200000[115000070.0843370.265061e-06
[1200000,1300000[125000090.1084340.3734941e-06
[1300000,1400000[135000060.0722890.4457831e-06
[1400000,1500000[1450000100.1204820.5662651e-06
[1500000,1600000[1550000110.132530.6987951e-06
[1600000,1700000[1650000110.132530.8313251e-06
[1700000,1800000[175000090.1084340.9397591e-06
[1800000,1900000[185000040.0481930.9879520
[1900000,2e+06]195000010.01204810


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):
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')
}