Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationMon, 15 Oct 2012 17:48:51 -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/2012/Oct/15/t13503377852xlq1gzoshnxdqq.htm/, Retrieved Tue, 07 May 2024 12:47:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=178054, Retrieved Tue, 07 May 2024 12:47:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D          [CARE Data - Boxplots and Scatterplot Matrix] [Scores year 10 ] [2012-10-15 21:48:51] [64d4a1c1c0951cc39d80412399cbae13] [Current]
Feedback Forum

Post a new message
Dataseries X:
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
75	72	75	69	73
77	72	77	72	74
78	73	79	72	75
79	77	79	73	77
79	77	81	73	77
80	78	81	73	77
80	78	83	73	78
81	79	83	75	79
81	79	83	77	80
82	79	83	78	81
82	80	84	79	81
83	80	84	80	82
83	80	84	80	82
84	80	84	81	82
85	81	84	81	82
85	81	84	82	82
85	81	85	83	82
85	82	85	83	83
86	82	85	83	83
86	82	86	84	83
86	82	86	84	83
87	82	86	84	83
88	82	86	84	83
88	84	86	84	84
88	84	86	84	84
88	85	86	84	84
88	86	87	84	84
88	86	87	85	84
88	86	87	86	85
89	86	87	86	86
89	86	87	87	86
89	86	87	87	86
89	86	88	87	86
90	86	88	87	87
90	87	88	88	88
91	88	88	88	88
91	88	88	88	88
91	88	88	89	89
91	88	88	89	89
91	89	88	89	89
91	89	88	89	89
91	89	88	89	89
91	90	89	89	89
91	90	89	89	90
92	90	90	90	90
92	91	90	90	90
92	91	90	90	90
93	91	91	90	90
93	91	91	90	91
94	91	91	90	91
94	92	92	90	91
94	92	92	91	92
94	92	92	91	92
95	92	92	91	92
95	92	93	92	92
95	92	93	92	92
95	92	93	94	92
96	92	93	94	92
96	93	93	94	93
97	94	94	94	93
97	94	94	94	93
97	95	94	94	93
97	95	94	95	93
97	95	95	95	93
98	95	95	96	94
98	95	95	96	94
98	96	95	96	94
98	96	95	96	95
98	96	96	96	95
98	97	97	97	96
98	97	97	97	96
98	97	99	98	96
100	98	100	98	97
100	98	101	98	97
100	99	101	100	97
102	100	101	100	98
102	100	102	101	98
102	100	102	102	98
102	102	102	103	98
102	103	102	104	99
103	103	103	105	99
103	103	103	105	100
104	104	103	105	100
104	105	104	105	100
106	105	104	105	100
106	105	105	106	101
106	105	105	106	102
107	105	105	107	104
108	108	105	107	104
112	109	105	107	105
112	111	105	110	107
113	112	108	110	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	




\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline R Engine error message &
Error in list(74, 71, 69, 67, 73, 74, 71, 69, 67, 73, 74, 71, 69, 67,  : 
  argument 520 is empty
Calls: array -> as.vector
Execution halted
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=178054&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [ROW][C]R Engine error message[/C][C]
Error in list(74, 71, 69, 67, 73, 74, 71, 69, 67, 73, 74, 71, 69, 67,  : 
  argument 520 is empty
Calls: array -> as.vector
Execution halted
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=178054&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178054&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
R Engine error message
Error in list(74, 71, 69, 67, 73, 74, 71, 69, 67, 73, 74, 71, 69, 67,  : 
  argument 520 is empty
Calls: array -> as.vector
Execution halted



Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')