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 computationMon, 08 Aug 2016 22:22:55 +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/Aug/08/t14706914093krvfzbdm49k670.htm/, Retrieved Mon, 29 Apr 2024 08:41:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296102, Retrieved Mon, 29 Apr 2024 08:41:40 +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)
-       [Histogram] [] [2016-08-08 21:22:55] [409a9d71664281dd1fd3bb0995266dd0] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21571
21493
21422
21272
22747
22676
21571
20831
20909
20909
20980
21130
21051
21643
21864
21643
22455
21935
20759
20467
20467
20610
20026
20467
20097
20467
21051
21272
21792
21571
20246
19726
19506
19726
19363
19506
19064
19805
20168
20246
21643
21643
19805
19363
19363
19584
18622
18180
17668
17817
18480
17960
19363
19584
18180
17668
17375
17668
16855
16563
15388
15680
15751
15830
17226
17076
15388
14647
14355
14725
13322
12367
10601
10750
10750
10601
11854
11926
10451
10159
9568
10380
8905
8022
6333
6697
6255
6404
7509
7730
6996
6917
6917
7879
6184
5079
3163
4709
4488
4566
6333
6112
5300
5671
5671
6996
5450
4566
3163
5008
4859
4930
6476
6333
5813
5892
6255
7067
5813
4787

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296102&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296102&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296102&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2000,4000[300020.0166670.0166678e-06
[4000,6000[5000160.1333330.156.7e-05
[6000,8000[7000180.150.37.5e-05
[8000,10000[900030.0250.3251.2e-05
[10000,12000[1100090.0750.43.8e-05
[12000,14000[1300020.0166670.4166678e-06
[14000,16000[1500080.0666670.4833333.3e-05
[16000,18000[17000100.0833330.5666674.2e-05
[18000,20000[19000170.1416670.7083337.1e-05
[20000,22000[21000320.2666670.9750.000133
[22000,24000]2300030.02511.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2000,4000[ & 3000 & 2 & 0.016667 & 0.016667 & 8e-06 \tabularnewline
[4000,6000[ & 5000 & 16 & 0.133333 & 0.15 & 6.7e-05 \tabularnewline
[6000,8000[ & 7000 & 18 & 0.15 & 0.3 & 7.5e-05 \tabularnewline
[8000,10000[ & 9000 & 3 & 0.025 & 0.325 & 1.2e-05 \tabularnewline
[10000,12000[ & 11000 & 9 & 0.075 & 0.4 & 3.8e-05 \tabularnewline
[12000,14000[ & 13000 & 2 & 0.016667 & 0.416667 & 8e-06 \tabularnewline
[14000,16000[ & 15000 & 8 & 0.066667 & 0.483333 & 3.3e-05 \tabularnewline
[16000,18000[ & 17000 & 10 & 0.083333 & 0.566667 & 4.2e-05 \tabularnewline
[18000,20000[ & 19000 & 17 & 0.141667 & 0.708333 & 7.1e-05 \tabularnewline
[20000,22000[ & 21000 & 32 & 0.266667 & 0.975 & 0.000133 \tabularnewline
[22000,24000] & 23000 & 3 & 0.025 & 1 & 1.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296102&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][2000,4000[[/C][C]3000[/C][C]2[/C][C]0.016667[/C][C]0.016667[/C][C]8e-06[/C][/ROW]
[ROW][C][4000,6000[[/C][C]5000[/C][C]16[/C][C]0.133333[/C][C]0.15[/C][C]6.7e-05[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]18[/C][C]0.15[/C][C]0.3[/C][C]7.5e-05[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]3[/C][C]0.025[/C][C]0.325[/C][C]1.2e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]9[/C][C]0.075[/C][C]0.4[/C][C]3.8e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]2[/C][C]0.016667[/C][C]0.416667[/C][C]8e-06[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]8[/C][C]0.066667[/C][C]0.483333[/C][C]3.3e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]10[/C][C]0.083333[/C][C]0.566667[/C][C]4.2e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]17[/C][C]0.141667[/C][C]0.708333[/C][C]7.1e-05[/C][/ROW]
[ROW][C][20000,22000[[/C][C]21000[/C][C]32[/C][C]0.266667[/C][C]0.975[/C][C]0.000133[/C][/ROW]
[ROW][C][22000,24000][/C][C]23000[/C][C]3[/C][C]0.025[/C][C]1[/C][C]1.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296102&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296102&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
[2000,4000[300020.0166670.0166678e-06
[4000,6000[5000160.1333330.156.7e-05
[6000,8000[7000180.150.37.5e-05
[8000,10000[900030.0250.3251.2e-05
[10000,12000[1100090.0750.43.8e-05
[12000,14000[1300020.0166670.4166678e-06
[14000,16000[1500080.0666670.4833333.3e-05
[16000,18000[17000100.0833330.5666674.2e-05
[18000,20000[19000170.1416670.7083337.1e-05
[20000,22000[21000320.2666670.9750.000133
[22000,24000]2300030.02511.2e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
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 <- ''
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,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')
}