Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Fri, 01 Jun 2012 06:13:53 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jun/01/t1338545689m4hhmfsh200cnwr.htm/, Retrieved Wed, 01 May 2024 23:54:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168608, Retrieved Wed, 01 May 2024 23:54:33 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [CARE Data - Boxplots and Scatterplot Matrix] [Davis data - box ...] [2012-06-01 10:13:53] [d153db4507507765df2e779682beea65] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

58	161	51	159
53	161	54	158
59	157	59	155
166	57	56	163
51	161	52	158
64	168	64	165
52	163	57	160
65	166	66	165
62	168	62	165
61	175	61	171
61	170	61	170
54	171	59	168
50	166	50	165
63	169	61	168
58	166	60	160
39	157	41	153
71	166	71	165
52	164	52	161
68	169	63	170
56	166	54	165
54	164	53	160
63	163	59	159
54	160	55	158
49	161	NA	NA
54	174	56	173
75	162	75	158
56	165	57	163
66	170	65	NA
78	173	75	169
60	162	59	160
64	165	63	163
64	164	62	161
52	158	51	155
62	175	61	171
55	165	54	163
56	163	57	159
50	166	50	161
50	171	NA	NA
50	160	55	150
63	160	64	158
61	165	60	163
53	169	52	175
60	167	55	163
56	170	56	170
53	165	53	165
57	163	59	160
57	162	56	160
56	161	56	161
56	165	57	160
50	169	50	165
52	159	52	153
55	155	NA	154
55	164	55	163
47	163	47	160
45	163	45	160
62	175	63	173
53	164	51	160
52	152	51	150
57	167	55	164
64	166	64	165
59	166	55	163
55	174	57	171
76	167	77	165
62	168	62	163
68	178	68	175
55	165	55	163
52	169	56	NA
47	153	NA	154
45	157	45	153
68	171	68	169
44	157	44	155
62	166	61	163
56	160	53	158
50	148	47	148
53	162	53	160
64	172	62	168
62	167	NA	NA
52	163	53	160
53	165	55	163
54	176	55	176
64	171	66	171
55	160	55	155
55	165	55	165
59	157	55	158
70	173	67	170
57	168	58	165
47	162	47	160
47	150	45	152
55	162	NA	NA
48	163	44	160
59	170	NA	NA
58	169	NA	NA
57	167	56	165
51	163	50	160
54	161	54	160
53	162	52	158
59	172	58	171
59	159	59	155
63	170	62	168
66	166	66	165
53	158	50	155
54	163	NA	NA
60	174	NA	NA
43	154	NA	NA
63	165	59	160
56	162	56	160
60	172	55	168
58	169	54	166
50	158	49	155
59	164	59	165
51	156	51	158
62	164	61	161
77	182	77	180
68	177	70	175
76	170	76	165
76	167	77	165
69	186	73	180
71	178	71	175
65	171	64	170
70	175	75	174
92	187	101	185
76	197	75	200
119	180	124	178
65	175	66	173
66	173	70	170
101	183	100	180
75	178	73	175
79	173	76	173
64	176	65	175
69	174	69	171
88	178	86	175
65	187	67	188
80	178	80	178
78	183	80	180
85	179	82	175
73	180	NA	NA
82	182	85	183
74	169	73	170
102	185	107	185
64	177	NA	NA
65	176	64	172
73	183	74	180
75	172	70	169
57	173	58	170
68	165	69	165
71	177	71	170
71	180	76	175
97	189	98	185
80	178	76	175
66	173	66	175
69	182	70	180
69	183	70	183
55	168	56	170
59	182	61	183
62	178	66	175
70	173	68	170
84	184	86	183
69	180	71	180
88	189	87	185
103	185	101	182
63	178	63	175
84	183	90	183
79	179	79	171
67	179	67	179
83	184	83	181
96	184	94	183
75	169	76	165
65	178	66	178
78	178	77	175
69	167	73	165
67	179	NA	NA
87	185	89	185
83	177	84	175
90	188	91	185
85	191	83	188
66	175	68	175
88	184	86	183
54	169	58	165
69	172	68	174
56	163	58	161
96	191	95	188
76	169	75	165
61	170	61	170
82	176	NA	NA
62	168	64	168
71	178	68	178
66	170	67	165
81	178	82	175
68	174	68	173
80	176	78	175
82	181	NA	NA
70	173	70	173
76	183	75	180
88	185	93	188
89	173	86	173
74	175	71	175
83	180	80	180
81	175	NA	NA
90	181	91	178
79	177	81	178

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168608&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168608&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
weight	39	55	63	74	102
height	148	164	169.5	177.5	197
repwt	41	55	63	73.5	101
repht	148	160.5	168	175	188

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
weight & 39 & 55 & 63 & 74 & 102 \tabularnewline
height & 148 & 164 & 169.5 & 177.5 & 197 \tabularnewline
repwt & 41 & 55 & 63 & 73.5 & 101 \tabularnewline
repht & 148 & 160.5 & 168 & 175 & 188 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168608&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]weight[/C][C]39[/C][C]55[/C][C]63[/C][C]74[/C][C]102[/C][/ROW]
[ROW][C]height[/C][C]148[/C][C]164[/C][C]169.5[/C][C]177.5[/C][C]197[/C][/ROW]
[ROW][C]repwt[/C][C]41[/C][C]55[/C][C]63[/C][C]73.5[/C][C]101[/C][/ROW]
[ROW][C]repht[/C][C]148[/C][C]160.5[/C][C]168[/C][C]175[/C][C]188[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168608&T=1

As an alternative you can also use a QR Code:

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

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
weight	39	55	63	74	102
height	148	164	169.5	177.5	197
repwt	41	55	63	73.5	101
repht	148	160.5	168	175	188

Boxplot Notches
Variable	lower bound	median	upper bound
weight	60.88	63	65.12
height	168	169.5	171
repwt	60.84	63	65.16
repht	166.3	168	169.7

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
weight & 60.88 & 63 & 65.12 \tabularnewline
height & 168 & 169.5 & 171 \tabularnewline
repwt & 60.84 & 63 & 65.16 \tabularnewline
repht & 166.3 & 168 & 169.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168608&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]weight[/C][C]60.88[/C][C]63[/C][C]65.12[/C][/ROW]
[ROW][C]height[/C][C]168[/C][C]169.5[/C][C]171[/C][/ROW]
[ROW][C]repwt[/C][C]60.84[/C][C]63[/C][C]65.16[/C][/ROW]
[ROW][C]repht[/C][C]166.3[/C][C]168[/C][C]169.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168608&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168608&T=2

As an alternative you can also use a QR Code:

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

Boxplot Notches
Variable	lower bound	median	upper bound
weight	60.88	63	65.12
height	168	169.5	171
repwt	60.84	63	65.16
repht	166.3	168	169.7

Boxplot Means
Variable	trimmed mean	unbiased SD
weight	65.8	15.1
height	170	12.01
repwt	65.62	13.78
repht	168.5	9.467

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
weight & 65.8 & 15.1 \tabularnewline
height & 170 & 12.01 \tabularnewline
repwt & 65.62 & 13.78 \tabularnewline
repht & 168.5 & 9.467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168608&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]weight[/C][C]65.8[/C][C]15.1[/C][/ROW]
[ROW][C]height[/C][C]170[/C][C]12.01[/C][/ROW]
[ROW][C]repwt[/C][C]65.62[/C][C]13.78[/C][/ROW]
[ROW][C]repht[/C][C]168.5[/C][C]9.467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168608&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168608&T=3

As an alternative you can also use a QR Code:

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

Boxplot Means
Variable	trimmed mean	unbiased SD
weight	65.8	15.1
height	170	12.01
repwt	65.62	13.78
repht	168.5	9.467

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 3 ; par2 = TRUE ; par3 = 0 ;

Parameters (R input):

par1 = 3 ; par2 = TRUE ; 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,signif(r$stats[j,i], digits=4))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,signif(r$conf[1,i], digits=4))
a<-table.element(a, signif(r$stats[3,i], digits=4))
a<-table.element(a,signif(r$conf[2,i], digits=4))
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,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code