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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 computationThu, 24 Sep 2015 16:02:21 +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/2015/Sep/24/t1443106984pzryhtw983zva5p.htm/, Retrieved Thu, 16 May 2024 21:34:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280653, Retrieved Thu, 16 May 2024 21:34:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Saghar Najafi Zadeh] [2015-09-24 15:02:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R  D    [Histogram] [Saghar Najafi Zadeh] [2015-10-01 19:49:14] [a726dea3093235710caf789b0c5edf8a]
- RMPD    [Univariate Data Series] [Saghar Najafi Zadeh] [2015-10-01 20:20:08] [a726dea3093235710caf789b0c5edf8a]
- R         [Univariate Data Series] [Saghar Najafi Zadeh] [2015-10-08 19:19:42] [a726dea3093235710caf789b0c5edf8a]
- RMPD      [Notched Boxplots] [Saghar Najafi Zadeh] [2015-10-08 21:11:44] [a726dea3093235710caf789b0c5edf8a]
- RMPD      [Notched Boxplots] [Saghar Najafi Zadeh] [2015-10-08 21:44:06] [a726dea3093235710caf789b0c5edf8a]
- RMPD      [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 21:54:37] [a726dea3093235710caf789b0c5edf8a]
- R           [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:35:56] [a726dea3093235710caf789b0c5edf8a]
- R             [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:46:34] [a726dea3093235710caf789b0c5edf8a]
- R               [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:59:54] [a726dea3093235710caf789b0c5edf8a]
- RM D            [Central Tendency] [Saghar Najafi Zadeh] [2015-10-08 23:05:57] [a726dea3093235710caf789b0c5edf8a]
- RM D            [Mean versus Median] [Saghar Najafi Zadeh] [2015-10-08 23:14:42] [a726dea3093235710caf789b0c5edf8a]
- RM D            [Central Tendency] [Saghar Najafi Zadeh] [2015-10-08 23:17:28] [a726dea3093235710caf789b0c5edf8a]
- RM D            [Mean versus Median] [Saghar Najafi Zadeh] [2015-10-08 23:25:43] [a726dea3093235710caf789b0c5edf8a]
-    D          [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:50:57] [a726dea3093235710caf789b0c5edf8a]
-    D        [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:39:58] [a726dea3093235710caf789b0c5edf8a]
- RMPD      [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:26:58] [a726dea3093235710caf789b0c5edf8a]
- R PD    [Histogram] [Saghar Najafi Zadeh] [2015-10-01 20:29:36] [a726dea3093235710caf789b0c5edf8a]
- RMPD    [Kernel Density Estimation] [Saghar Najafi Zadeh] [2015-10-01 20:42:01] [a726dea3093235710caf789b0c5edf8a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-18.5
-17.9
-19.8
-13.1
-16.5
-1.8
-9.3
-14.4
-9
-10.1
-11.7
-9.6
-9.9
0.2
-9.9
-12.4
-10.2
-8.2
-8.7
-5.7
-6.5
-5.7
-7.7
-8.4
-9.4
-13.6
-6.9
-15.6
-17.1
-19.7
-22.1
-25.2
-31.7
-35.7
-48.8
-44.3
-40.6
-43.7
-43
-40.1
-33.9
-28.7
-33.3
-28.4
-15.5
-17.1
-19.9
-16
-14.6
-12.5
-13.3
-16.6
-15.5
-9.3
-8.6
-15.8
-21.4
-21
-13.2
-3.3
-6.9
0.4
1.2
2
-1.2
-4.6
-9.1
-13
-18.2
-13.2
-18.3
-16.4
-12
-13.1
-20
-8.2
-13.8
-17.9
-17
-16.8
-23.3
-27.9
-22.2
-19.1
-16.6
-4.2
-20.8
-20.3
-19.4
-6.4
-15.2
-11
-1.3
-10.2
-1.3
-3.1
2.8
4.4
3.7
-3.9
-9
-11.1
-9.3
-12.4
-9.3
-7.5
-4.4
-1.4

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280653&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280653&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280653&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'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-50,-45[-47.510.0092590.0092590.001852
[-45,-40[-42.550.0462960.0555560.009259
[-40,-35[-37.510.0092590.0648150.001852
[-35,-30[-32.530.0277780.0925930.005556
[-30,-25[-27.540.0370370.129630.007407
[-25,-20[-22.570.0648150.1944440.012963
[-20,-15[-17.5250.2314810.4259260.046296
[-15,-10[-12.5200.1851850.6111110.037037
[-10,-5[-7.5240.2222220.8333330.044444
[-5,0[-2.5110.1018520.9351850.02037
[0,5]2.570.06481510.012963

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-50,-45[ & -47.5 & 1 & 0.009259 & 0.009259 & 0.001852 \tabularnewline
[-45,-40[ & -42.5 & 5 & 0.046296 & 0.055556 & 0.009259 \tabularnewline
[-40,-35[ & -37.5 & 1 & 0.009259 & 0.064815 & 0.001852 \tabularnewline
[-35,-30[ & -32.5 & 3 & 0.027778 & 0.092593 & 0.005556 \tabularnewline
[-30,-25[ & -27.5 & 4 & 0.037037 & 0.12963 & 0.007407 \tabularnewline
[-25,-20[ & -22.5 & 7 & 0.064815 & 0.194444 & 0.012963 \tabularnewline
[-20,-15[ & -17.5 & 25 & 0.231481 & 0.425926 & 0.046296 \tabularnewline
[-15,-10[ & -12.5 & 20 & 0.185185 & 0.611111 & 0.037037 \tabularnewline
[-10,-5[ & -7.5 & 24 & 0.222222 & 0.833333 & 0.044444 \tabularnewline
[-5,0[ & -2.5 & 11 & 0.101852 & 0.935185 & 0.02037 \tabularnewline
[0,5] & 2.5 & 7 & 0.064815 & 1 & 0.012963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280653&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][-50,-45[[/C][C]-47.5[/C][C]1[/C][C]0.009259[/C][C]0.009259[/C][C]0.001852[/C][/ROW]
[ROW][C][-45,-40[[/C][C]-42.5[/C][C]5[/C][C]0.046296[/C][C]0.055556[/C][C]0.009259[/C][/ROW]
[ROW][C][-40,-35[[/C][C]-37.5[/C][C]1[/C][C]0.009259[/C][C]0.064815[/C][C]0.001852[/C][/ROW]
[ROW][C][-35,-30[[/C][C]-32.5[/C][C]3[/C][C]0.027778[/C][C]0.092593[/C][C]0.005556[/C][/ROW]
[ROW][C][-30,-25[[/C][C]-27.5[/C][C]4[/C][C]0.037037[/C][C]0.12963[/C][C]0.007407[/C][/ROW]
[ROW][C][-25,-20[[/C][C]-22.5[/C][C]7[/C][C]0.064815[/C][C]0.194444[/C][C]0.012963[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]25[/C][C]0.231481[/C][C]0.425926[/C][C]0.046296[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]20[/C][C]0.185185[/C][C]0.611111[/C][C]0.037037[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]24[/C][C]0.222222[/C][C]0.833333[/C][C]0.044444[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]11[/C][C]0.101852[/C][C]0.935185[/C][C]0.02037[/C][/ROW]
[ROW][C][0,5][/C][C]2.5[/C][C]7[/C][C]0.064815[/C][C]1[/C][C]0.012963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280653&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280653&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
[-50,-45[-47.510.0092590.0092590.001852
[-45,-40[-42.550.0462960.0555560.009259
[-40,-35[-37.510.0092590.0648150.001852
[-35,-30[-32.530.0277780.0925930.005556
[-30,-25[-27.540.0370370.129630.007407
[-25,-20[-22.570.0648150.1944440.012963
[-20,-15[-17.5250.2314810.4259260.046296
[-15,-10[-12.5200.1851850.6111110.037037
[-10,-5[-7.5240.2222220.8333330.044444
[-5,0[-2.5110.1018520.9351850.02037
[0,5]2.570.06481510.012963


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par4 <- 'Interval/Ratio'
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')
}