Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 15 Nov 2011 14:54:42 -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/Nov/15/t1321386920vtkyu3cu4g8rdgh.htm/, Retrieved Thu, 31 Oct 2024 23:29:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143462, Retrieved Thu, 31 Oct 2024 23:29:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
- RM D  [Pearson Correlation] [Scatterplot] [2010-11-12 15:51:23] [9894f466352df31a128e82ec8d720241]
- RMPD    [Notched Boxplots] [assignment - outl...] [2010-11-12 17:56:50] [9894f466352df31a128e82ec8d720241]
-   P       [Notched Boxplots] [] [2010-11-25 15:47:40] [2e1e44f0ae3cb9513dc28781dfdb387b]
- RMPD          [Histogram] [] [2011-11-15 19:54:42] [ef12b3094dcc95645ac503919f1fca4e] [Current]
- R  D            [Histogram] [] [2011-11-15 19:56:21] [9026c059d17255e641798e6a3c7c272a]
- RM D            [Notched Boxplots] [] [2011-11-15 20:00:57] [9026c059d17255e641798e6a3c7c272a]
Feedback Forum

Post a new message
Dataseries X:
26
20
19
19
20
25
25
22
26
22
17
22
19
24
26
21
13
26
20
22
14
21
7
23
17
25
25
19
20
23
22
22
21
15
20
22
18
20
28
22
18
23
20
25
26
15
17
23
21
13
18
19
22
16
24
18
20
24
14
22
24
18
21
23
17
22
24
21
22
16
21
23
22
24
24
16
16
21
26
15
25
18
23
20
17
25
24
17
19
20
15
27
22
23
16
19
25
19
19
26
21
20
24
22
20
18
18
24
24
22
23
22
20
18
25
18
16
20
19
15
19
19
16
17
28
23
25
20
17
23
16
23
11
18
24
23
21
16
24
23
18
20
9
24
25
20
21
25
22
21
21
22
27
24
24
21
18
16
22
20
18
20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143462&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143462&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143462&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6,8]710.0061730.0061730.003086
]8,10]910.0061730.0123460.003086
]10,12]1110.0061730.0185190.003086
]12,14]1340.0246910.043210.012346
]14,16]15150.0925930.1358020.046296
]16,18]17220.1358020.2716050.067901
]18,20]19310.1913580.4629630.095679
]20,22]21340.2098770.672840.104938
]22,24]23300.1851850.8580250.092593
]24,26]25190.1172840.9753090.058642
]26,28]2740.02469110.012346

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6,8] & 7 & 1 & 0.006173 & 0.006173 & 0.003086 \tabularnewline
]8,10] & 9 & 1 & 0.006173 & 0.012346 & 0.003086 \tabularnewline
]10,12] & 11 & 1 & 0.006173 & 0.018519 & 0.003086 \tabularnewline
]12,14] & 13 & 4 & 0.024691 & 0.04321 & 0.012346 \tabularnewline
]14,16] & 15 & 15 & 0.092593 & 0.135802 & 0.046296 \tabularnewline
]16,18] & 17 & 22 & 0.135802 & 0.271605 & 0.067901 \tabularnewline
]18,20] & 19 & 31 & 0.191358 & 0.462963 & 0.095679 \tabularnewline
]20,22] & 21 & 34 & 0.209877 & 0.67284 & 0.104938 \tabularnewline
]22,24] & 23 & 30 & 0.185185 & 0.858025 & 0.092593 \tabularnewline
]24,26] & 25 & 19 & 0.117284 & 0.975309 & 0.058642 \tabularnewline
]26,28] & 27 & 4 & 0.024691 & 1 & 0.012346 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143462&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][6,8][/C][C]7[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.003086[/C][/ROW]
[ROW][C]]8,10][/C][C]9[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.003086[/C][/ROW]
[ROW][C]]10,12][/C][C]11[/C][C]1[/C][C]0.006173[/C][C]0.018519[/C][C]0.003086[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]4[/C][C]0.024691[/C][C]0.04321[/C][C]0.012346[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]15[/C][C]0.092593[/C][C]0.135802[/C][C]0.046296[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]22[/C][C]0.135802[/C][C]0.271605[/C][C]0.067901[/C][/ROW]
[ROW][C]]18,20][/C][C]19[/C][C]31[/C][C]0.191358[/C][C]0.462963[/C][C]0.095679[/C][/ROW]
[ROW][C]]20,22][/C][C]21[/C][C]34[/C][C]0.209877[/C][C]0.67284[/C][C]0.104938[/C][/ROW]
[ROW][C]]22,24][/C][C]23[/C][C]30[/C][C]0.185185[/C][C]0.858025[/C][C]0.092593[/C][/ROW]
[ROW][C]]24,26][/C][C]25[/C][C]19[/C][C]0.117284[/C][C]0.975309[/C][C]0.058642[/C][/ROW]
[ROW][C]]26,28][/C][C]27[/C][C]4[/C][C]0.024691[/C][C]1[/C][C]0.012346[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143462&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143462&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6,8]710.0061730.0061730.003086
]8,10]910.0061730.0123460.003086
]10,12]1110.0061730.0185190.003086
]12,14]1340.0246910.043210.012346
]14,16]15150.0925930.1358020.046296
]16,18]17220.1358020.2716050.067901
]18,20]19310.1913580.4629630.095679
]20,22]21340.2098770.672840.104938
]22,24]23300.1851850.8580250.092593
]24,26]25190.1172840.9753090.058642
]26,28]2740.02469110.012346



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = TRUE ; 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')
}