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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 computationWed, 30 Nov 2016 15:50:11 +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/2016/Nov/30/t14805174353g4r0682bp3j8s8.htm/, Retrieved Sun, 19 May 2024 02:20:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297451, Retrieved Sun, 19 May 2024 02:20:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram & frequ...] [2016-11-30 14:50:11] [b7b12d6257d20c3ae3b596da588d7d29] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11038
10882
10680
10560
10506
10479
10493
10451
10383
10423
10346
10298
10261
10166
10118
10066
9938
9907
9814
9731
9600
9477
9326
9271
9167
9093
9081
9169
9090
9044
8978
8929
8845
8859
8711
8723
8636
8623
8504
8508
8454
8340
8195
8113
8062
8003
7892
7773
7610
7443
7330
7230
7066
7065
6977
6900
6847
6823
6710
6657
6620
6503
6385

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297451&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297451&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297451&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6000,6500[625010.0158730.0158733.2e-05
[6500,7000[675080.1269840.1428570.000254
[7000,7500[725050.0793650.2222220.000159
[7500,8000[775030.0476190.2698419.5e-05
[8000,8500[825060.0952380.3650790.00019
[8500,9000[8750100.158730.523810.000317
[9000,9500[925090.1428570.6666670.000286
[9500,10000[975050.0793650.7460320.000159
[10000,10500[10250110.1746030.9206350.000349
[10500,11000[1075040.0634920.9841270.000127
[11000,11500]1125010.01587313.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6000,6500[ & 6250 & 1 & 0.015873 & 0.015873 & 3.2e-05 \tabularnewline
[6500,7000[ & 6750 & 8 & 0.126984 & 0.142857 & 0.000254 \tabularnewline
[7000,7500[ & 7250 & 5 & 0.079365 & 0.222222 & 0.000159 \tabularnewline
[7500,8000[ & 7750 & 3 & 0.047619 & 0.269841 & 9.5e-05 \tabularnewline
[8000,8500[ & 8250 & 6 & 0.095238 & 0.365079 & 0.00019 \tabularnewline
[8500,9000[ & 8750 & 10 & 0.15873 & 0.52381 & 0.000317 \tabularnewline
[9000,9500[ & 9250 & 9 & 0.142857 & 0.666667 & 0.000286 \tabularnewline
[9500,10000[ & 9750 & 5 & 0.079365 & 0.746032 & 0.000159 \tabularnewline
[10000,10500[ & 10250 & 11 & 0.174603 & 0.920635 & 0.000349 \tabularnewline
[10500,11000[ & 10750 & 4 & 0.063492 & 0.984127 & 0.000127 \tabularnewline
[11000,11500] & 11250 & 1 & 0.015873 & 1 & 3.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297451&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][6000,6500[[/C][C]6250[/C][C]1[/C][C]0.015873[/C][C]0.015873[/C][C]3.2e-05[/C][/ROW]
[ROW][C][6500,7000[[/C][C]6750[/C][C]8[/C][C]0.126984[/C][C]0.142857[/C][C]0.000254[/C][/ROW]
[ROW][C][7000,7500[[/C][C]7250[/C][C]5[/C][C]0.079365[/C][C]0.222222[/C][C]0.000159[/C][/ROW]
[ROW][C][7500,8000[[/C][C]7750[/C][C]3[/C][C]0.047619[/C][C]0.269841[/C][C]9.5e-05[/C][/ROW]
[ROW][C][8000,8500[[/C][C]8250[/C][C]6[/C][C]0.095238[/C][C]0.365079[/C][C]0.00019[/C][/ROW]
[ROW][C][8500,9000[[/C][C]8750[/C][C]10[/C][C]0.15873[/C][C]0.52381[/C][C]0.000317[/C][/ROW]
[ROW][C][9000,9500[[/C][C]9250[/C][C]9[/C][C]0.142857[/C][C]0.666667[/C][C]0.000286[/C][/ROW]
[ROW][C][9500,10000[[/C][C]9750[/C][C]5[/C][C]0.079365[/C][C]0.746032[/C][C]0.000159[/C][/ROW]
[ROW][C][10000,10500[[/C][C]10250[/C][C]11[/C][C]0.174603[/C][C]0.920635[/C][C]0.000349[/C][/ROW]
[ROW][C][10500,11000[[/C][C]10750[/C][C]4[/C][C]0.063492[/C][C]0.984127[/C][C]0.000127[/C][/ROW]
[ROW][C][11000,11500][/C][C]11250[/C][C]1[/C][C]0.015873[/C][C]1[/C][C]3.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297451&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297451&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
[6000,6500[625010.0158730.0158733.2e-05
[6500,7000[675080.1269840.1428570.000254
[7000,7500[725050.0793650.2222220.000159
[7500,8000[775030.0476190.2698419.5e-05
[8000,8500[825060.0952380.3650790.00019
[8500,9000[8750100.158730.523810.000317
[9000,9500[925090.1428570.6666670.000286
[9500,10000[975050.0793650.7460320.000159
[10000,10500[10250110.1746030.9206350.000349
[10500,11000[1075040.0634920.9841270.000127
[11000,11500]1125010.01587313.2e-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 {
barplot(mytab <- sort(table(x),T),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,'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')
}