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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 computationWed, 18 Sep 2013 10:32:25 -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/Sep/18/t1379514774iwut01xxs8uthvj.htm/, Retrieved Sat, 27 Apr 2024 20:17:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211497, Retrieved Sat, 27 Apr 2024 20:17:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-09-18 14:32:25] [3050d341fa02a6066b7b273abfa2c28b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9969
9692
8943
8802
8250
8515
13973
13905
12467
9490
8483
7610
7839
7107
6584
6053
5725
6480
11663
11628
9203
7781
7020
6908
6912
6668
6189
6007
5148
6685
11044
11034
8986
8146
7818
8176
8935
8929
8835
8455
7924
8973
13575
13844
11738
10467
10145
10833
10179
10107
9533
9165
8382
9018
13911
13761
11316
9855
9034
8932
9278
8876
8298
7733
7226
7688
12226
12081
10439
9008
8377
8346
9167
8945
8428
7973
7446
7785
10561
12791
11583
10112
9597
9332

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211497&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211497&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5000,6000[550020.023810.023812.4e-05
[6000,7000[650090.1071430.1309520.000107
[7000,8000[7500130.1547620.2857140.000155
[8000,9000[8500210.250.5357140.00025
[9000,10000[9500140.1666670.7023810.000167
[10000,11000[1050080.0952380.7976199.5e-05
[11000,12000[1150070.0833330.8809528.3e-05
[12000,13000[1250040.0476190.9285714.8e-05
[13000,14000]1350060.07142917.1e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5000,6000[ & 5500 & 2 & 0.02381 & 0.02381 & 2.4e-05 \tabularnewline
[6000,7000[ & 6500 & 9 & 0.107143 & 0.130952 & 0.000107 \tabularnewline
[7000,8000[ & 7500 & 13 & 0.154762 & 0.285714 & 0.000155 \tabularnewline
[8000,9000[ & 8500 & 21 & 0.25 & 0.535714 & 0.00025 \tabularnewline
[9000,10000[ & 9500 & 14 & 0.166667 & 0.702381 & 0.000167 \tabularnewline
[10000,11000[ & 10500 & 8 & 0.095238 & 0.797619 & 9.5e-05 \tabularnewline
[11000,12000[ & 11500 & 7 & 0.083333 & 0.880952 & 8.3e-05 \tabularnewline
[12000,13000[ & 12500 & 4 & 0.047619 & 0.928571 & 4.8e-05 \tabularnewline
[13000,14000] & 13500 & 6 & 0.071429 & 1 & 7.1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211497&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][5000,6000[[/C][C]5500[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]2.4e-05[/C][/ROW]
[ROW][C][6000,7000[[/C][C]6500[/C][C]9[/C][C]0.107143[/C][C]0.130952[/C][C]0.000107[/C][/ROW]
[ROW][C][7000,8000[[/C][C]7500[/C][C]13[/C][C]0.154762[/C][C]0.285714[/C][C]0.000155[/C][/ROW]
[ROW][C][8000,9000[[/C][C]8500[/C][C]21[/C][C]0.25[/C][C]0.535714[/C][C]0.00025[/C][/ROW]
[ROW][C][9000,10000[[/C][C]9500[/C][C]14[/C][C]0.166667[/C][C]0.702381[/C][C]0.000167[/C][/ROW]
[ROW][C][10000,11000[[/C][C]10500[/C][C]8[/C][C]0.095238[/C][C]0.797619[/C][C]9.5e-05[/C][/ROW]
[ROW][C][11000,12000[[/C][C]11500[/C][C]7[/C][C]0.083333[/C][C]0.880952[/C][C]8.3e-05[/C][/ROW]
[ROW][C][12000,13000[[/C][C]12500[/C][C]4[/C][C]0.047619[/C][C]0.928571[/C][C]4.8e-05[/C][/ROW]
[ROW][C][13000,14000][/C][C]13500[/C][C]6[/C][C]0.071429[/C][C]1[/C][C]7.1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211497&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
[5000,6000[550020.023810.023812.4e-05
[6000,7000[650090.1071430.1309520.000107
[7000,8000[7500130.1547620.2857140.000155
[8000,9000[8500210.250.5357140.00025
[9000,10000[9500140.1666670.7023810.000167
[10000,11000[1050080.0952380.7976199.5e-05
[11000,12000[1150070.0833330.8809528.3e-05
[12000,13000[1250040.0476190.9285714.8e-05
[13000,14000]1350060.07142917.1e-05


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')
}