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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 15 Oct 2010 11:34:07 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/15/t1287143896da01jmoccvg2d1m.htm/, Retrieved Sat, 04 May 2024 18:46:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83459, Retrieved Sat, 04 May 2024 18:46:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Academic Motivati...] [2010-10-12 12:51:42] [b98453cac15ba1066b407e146608df68]
F    D    [Notched Boxplots] [Q4] [2010-10-15 11:34:07] [59f7d3e7fcb6374015f4e6b9053b0f01] [Current]
Feedback Forum
2010-10-22 15:57:16 [fdcf25e53512b12c51e15d5bc1f6edd1] [reply] 
Je kan al de gegevens naast elkaar van zowel de mannen als de vrouwen opnemen in 1 excel-blad. Naast deze kolommen maak je dan de gegevens die je zal ingeven in de software. Je gebruik de IF-functie in excel. Voor de gegevens van de mannen als volgt: als de eerste cel = 1 en dus een man is, laat je excel de waarde ingeven, als de eerste cel = 2 en dus een vrouwen is, laat je NA ingeven. De software negeert deze NA en schiet die waarde dus over. Dezelfde werkwijze gebruik je voor de mannen. (Hopelijk is deze uitleg een beetje duidelijk, als je de excel-file voor je ziet zal je het beter begrijpen).
  2010-10-26 17:11:35 [Evelien Heyndrickx] [reply] 
Even mijn vorige uitleg verbeteren.. De software negeert de NA's niet, je moet hiervoor nog even een aparte kolom maken in excel met de if-functie

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68	48	63	62	4	8
51	46	61	70	4	4
56	46	60	76	6	4
44	55	68	71	8	4
67	49	77	65	4	8
54	75	69	78	8	4
61	51	65	75	5	4
52	38	64	52	4	4
46	52	63	69	4	4
52	48	63	53	4	4
76	64	79	72	4	4
30	42	74	55	4	10
50	39	73	66	8	4
55	59	76	64	7	8
18	49	55	64	4	4
42	80	76	83	5	4
66	69	61	67	4	5
66	63	61	61	4	4
33	38	55	53	4	5
57	46	68	71	4	12
58	37	65	72	4	9
59	65	54	71	15	4
37	39	76	70	4	4
62	64	71	62	4	5
52	59	74	65	7	4
53	55	70	75	4	4
58	72	70	72	6	6
36	58	62	64	16	4
56	63	64	71	6	4
51	50	58	58	9	5
44	59	59	75	4	5
58	73	79	81	5	4
37	38	49	54	4	4
48	62	64	67	5	4
53	54	65	66	4	8
51	73	63	75	4	4
51	70	62	61	4	4
47	57	65	64	6	4
64	47	64	65	4	4
54	74	55	72	18	7
59	47	73	54	4	4
36	55	67	64	5	4
62	44	75	59	4	8
67	42	67	54	10	5
70	47	77	60	5	5
46	60	58	69	8	5
46	50	55	60	8	4
41	63	56	66	5	4
52	68	69	69	4	7
60	32	75	57	5	10
40	47	61	65	14	4
41	67	59	74	8	5
54	46	68	69	8	7
42	67	43	76	4	4
51	57	70	57	6	4
60	51	67	71	4	8
49	62	73	62	7	6
52	60	72	64	7	4
50	59	59	58	6	9
47	56	70	78	4	4
59	62	66	72	8	4
64	55	73	62	4	5
52	48	61	50	10	4
60	NA	63	NA	6	NA
51	NA	66	NA	4	NA
63	NA	68	NA	4	NA
49	NA	81	NA	4	NA
52	NA	72	NA	5	NA
48	NA	53	NA	4	NA
50	NA	61	NA	6	NA
67	NA	77	NA	4	NA
44	NA	75	NA	7	NA
51	NA	70	NA	8	NA
37	NA	63	NA	8	NA
51	NA	57	NA	10	NA
60	NA	70	NA	8	NA
38	NA	67	NA	5	NA
52	NA	44	NA	12	NA
65	NA	81	NA	4	NA
70	NA	71	NA	4	NA
44	NA	67	NA	6	NA
50	NA	61	NA	7	NA
50	NA	56	NA	8	NA
57	NA	74	NA	11	NA
63	NA	68	NA	8	NA
36	NA	60	NA	6	NA
54	NA	72	NA	7	NA
36	NA	74	NA	5	NA
70	NA	73	NA	8	NA
47	NA	58	NA	4	NA
52	NA	67	NA	5	NA
52	NA	76	NA	6	NA
69	NA	67	NA	4	NA
52	NA	68	NA	6	NA
48	NA	71	NA	16	NA
51	NA	70	NA	6	NA
53	NA	61	NA	6	NA
55	NA	54	NA	4	NA

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83459&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83459&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
IM3047525976
IF3247556380
EM4961677281
EF50616671.583
AM445814
AF4445.57

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
IM & 30 & 47 & 52 & 59 & 76 \tabularnewline
IF & 32 & 47 & 55 & 63 & 80 \tabularnewline
EM & 49 & 61 & 67 & 72 & 81 \tabularnewline
EF & 50 & 61 & 66 & 71.5 & 83 \tabularnewline
AM & 4 & 4 & 5 & 8 & 14 \tabularnewline
AF & 4 & 4 & 4 & 5.5 & 7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83459&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]IM[/C][C]30[/C][C]47[/C][C]52[/C][C]59[/C][C]76[/C][/ROW]
[ROW][C]IF[/C][C]32[/C][C]47[/C][C]55[/C][C]63[/C][C]80[/C][/ROW]
[ROW][C]EM[/C][C]49[/C][C]61[/C][C]67[/C][C]72[/C][C]81[/C][/ROW]
[ROW][C]EF[/C][C]50[/C][C]61[/C][C]66[/C][C]71.5[/C][C]83[/C][/ROW]
[ROW][C]AM[/C][C]4[/C][C]4[/C][C]5[/C][C]8[/C][C]14[/C][/ROW]
[ROW][C]AF[/C][C]4[/C][C]4[/C][C]4[/C][C]5.5[/C][C]7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83459&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:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
IM3047525976
IF3247556380
EM4961677281
EF50616671.583
AM445814
AF4445.57






Boxplot Notches
Variablelower boundmedianupper bound
IM50.0847507755295253.915249224471
IF51.81501937410895558.1849806258911
EM65.24435487756836768.7556451224317
EF63.9098564642596668.090143535741
AM4.36158359184355.638416408157
AF3.7014080663227144.29859193367729

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
IM & 50.084750775529 & 52 & 53.915249224471 \tabularnewline
IF & 51.8150193741089 & 55 & 58.1849806258911 \tabularnewline
EM & 65.2443548775683 & 67 & 68.7556451224317 \tabularnewline
EF & 63.909856464259 & 66 & 68.090143535741 \tabularnewline
AM & 4.361583591843 & 5 & 5.638416408157 \tabularnewline
AF & 3.70140806632271 & 4 & 4.29859193367729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83459&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]IM[/C][C]50.084750775529[/C][C]52[/C][C]53.915249224471[/C][/ROW]
[ROW][C]IF[/C][C]51.8150193741089[/C][C]55[/C][C]58.1849806258911[/C][/ROW]
[ROW][C]EM[/C][C]65.2443548775683[/C][C]67[/C][C]68.7556451224317[/C][/ROW]
[ROW][C]EF[/C][C]63.909856464259[/C][C]66[/C][C]68.090143535741[/C][/ROW]
[ROW][C]AM[/C][C]4.361583591843[/C][C]5[/C][C]5.638416408157[/C][/ROW]
[ROW][C]AF[/C][C]3.70140806632271[/C][C]4[/C][C]4.29859193367729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83459&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83459&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Boxplot Notches
Variablelower boundmedianupper bound
IM50.0847507755295253.915249224471
IF51.81501937410895558.1849806258911
EM65.24435487756836768.7556451224317
EF63.9098564642596668.090143535741
AM4.36158359184355.638416408157
AF3.7014080663227144.29859193367729


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,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,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')