tea: tea (data)
In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining
Description
Usage
Format
Examples
Description
The data used here concern a questionnaire on tea.
We asked to 300 individuals how they drink tea (18 questions), what are their product's perception (12 questions) and some personal details (4 questions).
Usage
1
Format
A data frame with 300 rows and 36 columns. Rows represent the individuals,
columns represent the different questions. The first 18 questions are active ones,
the 19th is a supplementary quantitative variable (the age) and the last variables
are supplementary categorical variables.
Examples
1
2
3
4
5
6
7
8
9
10
11
12
13
## Not run:
data(tea)
res.mca=MCA(tea,quanti.sup=19,quali.sup=20:36)
plot(res.mca,invisible=c("var","quali.sup","quanti.sup"),cex=0.7)
plot(res.mca,invisible=c("ind","quali.sup","quanti.sup"),cex=0.8)
plot(res.mca,invisible=c("quali.sup","quanti.sup"),cex=0.8)
dimdesc(res.mca)
plotellipses(res.mca,keepvar=1:4)
## make a hierarchical clustering: click on the tree to define the number of clusters
## HCPC(res.mca)
## End(Not run)
Example output
dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
$`Dim 1`
$`Dim 1`$quali
R2 p.value
where 0.41793014 1.255462e-35
tearoom 0.37189109 6.082138e-32
how 0.29882863 1.273180e-23
friends 0.24319952 8.616289e-20
resto 0.22646759 2.319804e-18
tea.time 0.19203800 1.652462e-15
price 0.21609382 4.050469e-14
pub 0.14722360 5.846592e-12
work 0.11153590 3.000872e-09
How 0.10285191 4.796010e-07
Tea 0.08950330 8.970954e-07
lunch 0.07458227 1.570629e-06
frequency 0.09438792 1.849071e-06
friendliness 0.07132511 2.706357e-06
evening 0.05311759 5.586801e-05
always 0.04479873 2.219503e-04
sex 0.03335969 1.487620e-03
dinner 0.03289362 1.608077e-03
breakfast 0.02539639 5.667604e-03
sugar 0.01527654 3.234986e-02
$`Dim 1`$category
Estimate p.value
chain store+tea shop 0.33853776 1.344557e-35
tearoom 0.29731072 6.082138e-32
tea bag+unpackaged 0.23457030 1.361423e-21
friends 0.19950832 8.616289e-20
resto 0.20802605 2.319804e-18
tea time 0.17011357 1.652462e-15
pub 0.18137133 5.846592e-12
p_variable 0.27595067 5.956230e-12
work 0.14170406 3.000872e-09
+2/day 0.14855615 7.380937e-07
lunch 0.14862636 1.570629e-06
friendliness 0.13020388 2.706357e-06
other 0.38192443 9.244911e-06
evening 0.09345270 5.586801e-05
always 0.08582336 2.219503e-04
F 0.07158886 1.487620e-03
Not.dinner 0.13685745 1.608077e-03
lemon 0.01223478 3.515252e-03
breakfast 0.06141392 5.667604e-03
senior 0.16802844 8.886876e-03
Earl Grey 0.12203299 1.547110e-02
No.sugar 0.04761975 3.234986e-02
sugar -0.04761975 3.234986e-02
1 to 2/week -0.10430402 1.829818e-02
p_private label -0.11979263 1.156245e-02
Not.breakfast -0.06141392 5.667604e-03
dinner -0.13685745 1.608077e-03
M -0.07158886 1.487620e-03
alone -0.23140428 2.326233e-04
Not.always -0.08582336 2.219503e-04
1/day -0.10038745 1.556219e-04
Not.evening -0.09345270 5.586801e-05
Not.friendliness -0.13020388 2.706357e-06
Not.lunch -0.14862636 1.570629e-06
green -0.24569103 1.281162e-07
Not.work -0.14170406 3.000872e-09
p_branded -0.10910793 1.116908e-09
Not.pub -0.18137133 5.846592e-12
Not.tea time -0.17011357 1.652462e-15
Not.resto -0.20802605 2.319804e-18
Not.friends -0.19950832 8.616289e-20
tea bag -0.23182447 8.877561e-22
chain store -0.24012436 3.008256e-27
Not.tearoom -0.29731072 6.082138e-32
$`Dim 2`
$`Dim 2`$quanti
correlation p.value
age 0.2035108 0.0003890693
$`Dim 2`$quali
R2 p.value
where 0.62550194 4.542155e-64
price 0.56056797 1.837909e-50
how 0.51288621 4.103156e-47
Tea 0.16034278 5.359827e-12
resto 0.05883014 2.165287e-05
age_Q 0.07663110 9.613084e-05
dinner 0.04764166 1.385133e-04
work 0.04334283 2.825934e-04
sugar 0.03078909 2.286813e-03
How 0.04300447 4.565763e-03
lunch 0.02609615 5.035226e-03
breakfast 0.02554407 5.527765e-03
sophisticated 0.02298649 8.531637e-03
tearoom 0.02159669 1.081515e-02
SPC 0.05335498 1.284774e-02
sex 0.01734823 2.250375e-02
friends 0.01527530 3.235693e-02
$`Dim 2`$category
Estimate p.value
tea shop 0.56623933 3.435386e-58
p_upscale 0.58675674 6.819842e-53
unpackaged 0.47523577 4.876111e-43
green 0.17636551 5.660702e-07
Not.resto 0.09599600 2.165287e-05
black 0.02833892 1.280976e-04
dinner 0.14912299 1.385133e-04
Not.work 0.07997829 2.825934e-04
No.sugar 0.06120846 2.286813e-03
Not.lunch 0.07959849 5.035226e-03
Not.breakfast 0.05576534 5.527765e-03
+60 0.11445238 7.567898e-03
sophisticated 0.05865034 8.531637e-03
tearoom 0.06486865 1.081515e-02
middle 0.09793868 2.228820e-02
M 0.04674127 2.250375e-02
Not.friends 0.04527027 3.235693e-02
friends -0.04527027 3.235693e-02
p_private label -0.13563786 2.301393e-02
F -0.04674127 2.250375e-02
Not.tearoom -0.06486865 1.081515e-02
Not.sophisticated -0.05865034 8.531637e-03
p_unknown -0.23171262 7.581675e-03
breakfast -0.05576534 5.527765e-03
lunch -0.07959849 5.035226e-03
p_variable -0.04476924 3.517223e-03
student -0.12977090 2.381679e-03
sugar -0.06120846 2.286813e-03
milk -0.13222339 7.496148e-04
work -0.07997829 2.825934e-04
Not.dinner -0.14912299 1.385133e-04
resto -0.09599600 2.165287e-05
15-24 -0.16342547 4.501578e-06
p_branded -0.11247568 8.001515e-07
Earl Grey -0.20470443 6.499738e-12
tea bag -0.31755648 2.123707e-18
chain store -0.36891861 5.804094e-23
$`Dim 3`
$`Dim 3`$quanti
correlation p.value
age -0.3397736 1.530157e-09
$`Dim 3`$quali
R2 p.value
Tea 0.33178708 9.996725e-27
breakfast 0.21498315 2.138445e-17
sugar 0.21026537 5.278399e-17
How 0.19600156 5.867378e-14
home 0.13440219 5.642852e-11
age_Q 0.14565571 1.852397e-09
evening 0.10637896 7.269113e-09
friends 0.10294629 1.307065e-08
always 0.10133291 1.721112e-08
tea.time 0.05424196 4.636352e-05
frequency 0.06361133 2.167789e-04
pub 0.04311129 2.936636e-04
SPC 0.07625129 6.739742e-04
where 0.04166084 1.801385e-03
exciting 0.02425859 6.872690e-03
dinner 0.02152288 1.095256e-02
spirituality 0.01606168 2.817777e-02
lunch 0.01561039 3.050262e-02
diuretic 0.01302499 4.827448e-02
$`Dim 3`$category
Estimate p.value
Earl Grey 0.18122366 5.474630e-22
Not.breakfast 0.13921762 2.138445e-17
sugar 0.13764789 5.278399e-17
Not.home 0.32238212 5.642852e-11
evening 0.10304138 7.269113e-09
friends 0.10113377 1.307065e-08
always 0.10056783 1.721112e-08
lemon 0.29113799 3.532927e-05
Not.tea time 0.07044079 4.636352e-05
1 to 2/week 0.13367067 4.787775e-05
25-34 0.15458550 9.102105e-05
student 0.11762964 1.467086e-04
pub 0.07646920 2.936636e-04
15-24 0.12278166 4.286711e-04
alone 0.13200504 7.535155e-04
tea shop 0.12875140 1.905017e-03
exciting 0.04797670 6.872690e-03
dinner 0.08625296 1.095256e-02
spirituality 0.04098581 2.817777e-02
lunch 0.05297807 3.050262e-02
unpackaged 0.07670099 3.765383e-02
Not.diuretic 0.03468681 4.827448e-02
diuretic -0.03468681 4.827448e-02
+2/day -0.07763057 3.323605e-02
Not.lunch -0.05297807 3.050262e-02
Not.spirituality -0.04098581 2.817777e-02
chain store+tea shop -0.09887763 2.197901e-02
35-44 -0.07139235 1.961314e-02
Not.dinner -0.08625296 1.095256e-02
non-worker -0.08793735 8.568111e-03
No.exciting -0.04797670 6.872690e-03
45-59 -0.07791412 1.331486e-03
+60 -0.12806070 4.108178e-04
Not.pub -0.07646920 2.936636e-04
tea time -0.07044079 4.636352e-05
other -0.33576960 1.254567e-05
milk -0.08737342 7.989362e-08
Not.always -0.10056783 1.721112e-08
Not.friends -0.10113377 1.307065e-08
Not.evening -0.10304138 7.269113e-09
home -0.32238212 5.642852e-11
No.sugar -0.13764789 5.278399e-17
breakfast -0.13921762 2.138445e-17
black -0.22772627 4.313358e-26
FactoMineR documentation built on Jan. 8, 2021, 2:18 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Examples
Description
The data used here concern a questionnaire on tea. We asked to 300 individuals how they drink tea (18 questions), what are their product's perception (12 questions) and some personal details (4 questions).
Usage
1 |
Format
A data frame with 300 rows and 36 columns. Rows represent the individuals, columns represent the different questions. The first 18 questions are active ones, the 19th is a supplementary quantitative variable (the age) and the last variables are supplementary categorical variables.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
data(tea)
res.mca=MCA(tea,quanti.sup=19,quali.sup=20:36)
plot(res.mca,invisible=c("var","quali.sup","quanti.sup"),cex=0.7)
plot(res.mca,invisible=c("ind","quali.sup","quanti.sup"),cex=0.8)
plot(res.mca,invisible=c("quali.sup","quanti.sup"),cex=0.8)
dimdesc(res.mca)
plotellipses(res.mca,keepvar=1:4)
## make a hierarchical clustering: click on the tree to define the number of clusters
## HCPC(res.mca)
## End(Not run)
|
Example output
dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
$`Dim 1`
$`Dim 1`$quali
R2 p.value
where 0.41793014 1.255462e-35
tearoom 0.37189109 6.082138e-32
how 0.29882863 1.273180e-23
friends 0.24319952 8.616289e-20
resto 0.22646759 2.319804e-18
tea.time 0.19203800 1.652462e-15
price 0.21609382 4.050469e-14
pub 0.14722360 5.846592e-12
work 0.11153590 3.000872e-09
How 0.10285191 4.796010e-07
Tea 0.08950330 8.970954e-07
lunch 0.07458227 1.570629e-06
frequency 0.09438792 1.849071e-06
friendliness 0.07132511 2.706357e-06
evening 0.05311759 5.586801e-05
always 0.04479873 2.219503e-04
sex 0.03335969 1.487620e-03
dinner 0.03289362 1.608077e-03
breakfast 0.02539639 5.667604e-03
sugar 0.01527654 3.234986e-02
$`Dim 1`$category
Estimate p.value
chain store+tea shop 0.33853776 1.344557e-35
tearoom 0.29731072 6.082138e-32
tea bag+unpackaged 0.23457030 1.361423e-21
friends 0.19950832 8.616289e-20
resto 0.20802605 2.319804e-18
tea time 0.17011357 1.652462e-15
pub 0.18137133 5.846592e-12
p_variable 0.27595067 5.956230e-12
work 0.14170406 3.000872e-09
+2/day 0.14855615 7.380937e-07
lunch 0.14862636 1.570629e-06
friendliness 0.13020388 2.706357e-06
other 0.38192443 9.244911e-06
evening 0.09345270 5.586801e-05
always 0.08582336 2.219503e-04
F 0.07158886 1.487620e-03
Not.dinner 0.13685745 1.608077e-03
lemon 0.01223478 3.515252e-03
breakfast 0.06141392 5.667604e-03
senior 0.16802844 8.886876e-03
Earl Grey 0.12203299 1.547110e-02
No.sugar 0.04761975 3.234986e-02
sugar -0.04761975 3.234986e-02
1 to 2/week -0.10430402 1.829818e-02
p_private label -0.11979263 1.156245e-02
Not.breakfast -0.06141392 5.667604e-03
dinner -0.13685745 1.608077e-03
M -0.07158886 1.487620e-03
alone -0.23140428 2.326233e-04
Not.always -0.08582336 2.219503e-04
1/day -0.10038745 1.556219e-04
Not.evening -0.09345270 5.586801e-05
Not.friendliness -0.13020388 2.706357e-06
Not.lunch -0.14862636 1.570629e-06
green -0.24569103 1.281162e-07
Not.work -0.14170406 3.000872e-09
p_branded -0.10910793 1.116908e-09
Not.pub -0.18137133 5.846592e-12
Not.tea time -0.17011357 1.652462e-15
Not.resto -0.20802605 2.319804e-18
Not.friends -0.19950832 8.616289e-20
tea bag -0.23182447 8.877561e-22
chain store -0.24012436 3.008256e-27
Not.tearoom -0.29731072 6.082138e-32
$`Dim 2`
$`Dim 2`$quanti
correlation p.value
age 0.2035108 0.0003890693
$`Dim 2`$quali
R2 p.value
where 0.62550194 4.542155e-64
price 0.56056797 1.837909e-50
how 0.51288621 4.103156e-47
Tea 0.16034278 5.359827e-12
resto 0.05883014 2.165287e-05
age_Q 0.07663110 9.613084e-05
dinner 0.04764166 1.385133e-04
work 0.04334283 2.825934e-04
sugar 0.03078909 2.286813e-03
How 0.04300447 4.565763e-03
lunch 0.02609615 5.035226e-03
breakfast 0.02554407 5.527765e-03
sophisticated 0.02298649 8.531637e-03
tearoom 0.02159669 1.081515e-02
SPC 0.05335498 1.284774e-02
sex 0.01734823 2.250375e-02
friends 0.01527530 3.235693e-02
$`Dim 2`$category
Estimate p.value
tea shop 0.56623933 3.435386e-58
p_upscale 0.58675674 6.819842e-53
unpackaged 0.47523577 4.876111e-43
green 0.17636551 5.660702e-07
Not.resto 0.09599600 2.165287e-05
black 0.02833892 1.280976e-04
dinner 0.14912299 1.385133e-04
Not.work 0.07997829 2.825934e-04
No.sugar 0.06120846 2.286813e-03
Not.lunch 0.07959849 5.035226e-03
Not.breakfast 0.05576534 5.527765e-03
+60 0.11445238 7.567898e-03
sophisticated 0.05865034 8.531637e-03
tearoom 0.06486865 1.081515e-02
middle 0.09793868 2.228820e-02
M 0.04674127 2.250375e-02
Not.friends 0.04527027 3.235693e-02
friends -0.04527027 3.235693e-02
p_private label -0.13563786 2.301393e-02
F -0.04674127 2.250375e-02
Not.tearoom -0.06486865 1.081515e-02
Not.sophisticated -0.05865034 8.531637e-03
p_unknown -0.23171262 7.581675e-03
breakfast -0.05576534 5.527765e-03
lunch -0.07959849 5.035226e-03
p_variable -0.04476924 3.517223e-03
student -0.12977090 2.381679e-03
sugar -0.06120846 2.286813e-03
milk -0.13222339 7.496148e-04
work -0.07997829 2.825934e-04
Not.dinner -0.14912299 1.385133e-04
resto -0.09599600 2.165287e-05
15-24 -0.16342547 4.501578e-06
p_branded -0.11247568 8.001515e-07
Earl Grey -0.20470443 6.499738e-12
tea bag -0.31755648 2.123707e-18
chain store -0.36891861 5.804094e-23
$`Dim 3`
$`Dim 3`$quanti
correlation p.value
age -0.3397736 1.530157e-09
$`Dim 3`$quali
R2 p.value
Tea 0.33178708 9.996725e-27
breakfast 0.21498315 2.138445e-17
sugar 0.21026537 5.278399e-17
How 0.19600156 5.867378e-14
home 0.13440219 5.642852e-11
age_Q 0.14565571 1.852397e-09
evening 0.10637896 7.269113e-09
friends 0.10294629 1.307065e-08
always 0.10133291 1.721112e-08
tea.time 0.05424196 4.636352e-05
frequency 0.06361133 2.167789e-04
pub 0.04311129 2.936636e-04
SPC 0.07625129 6.739742e-04
where 0.04166084 1.801385e-03
exciting 0.02425859 6.872690e-03
dinner 0.02152288 1.095256e-02
spirituality 0.01606168 2.817777e-02
lunch 0.01561039 3.050262e-02
diuretic 0.01302499 4.827448e-02
$`Dim 3`$category
Estimate p.value
Earl Grey 0.18122366 5.474630e-22
Not.breakfast 0.13921762 2.138445e-17
sugar 0.13764789 5.278399e-17
Not.home 0.32238212 5.642852e-11
evening 0.10304138 7.269113e-09
friends 0.10113377 1.307065e-08
always 0.10056783 1.721112e-08
lemon 0.29113799 3.532927e-05
Not.tea time 0.07044079 4.636352e-05
1 to 2/week 0.13367067 4.787775e-05
25-34 0.15458550 9.102105e-05
student 0.11762964 1.467086e-04
pub 0.07646920 2.936636e-04
15-24 0.12278166 4.286711e-04
alone 0.13200504 7.535155e-04
tea shop 0.12875140 1.905017e-03
exciting 0.04797670 6.872690e-03
dinner 0.08625296 1.095256e-02
spirituality 0.04098581 2.817777e-02
lunch 0.05297807 3.050262e-02
unpackaged 0.07670099 3.765383e-02
Not.diuretic 0.03468681 4.827448e-02
diuretic -0.03468681 4.827448e-02
+2/day -0.07763057 3.323605e-02
Not.lunch -0.05297807 3.050262e-02
Not.spirituality -0.04098581 2.817777e-02
chain store+tea shop -0.09887763 2.197901e-02
35-44 -0.07139235 1.961314e-02
Not.dinner -0.08625296 1.095256e-02
non-worker -0.08793735 8.568111e-03
No.exciting -0.04797670 6.872690e-03
45-59 -0.07791412 1.331486e-03
+60 -0.12806070 4.108178e-04
Not.pub -0.07646920 2.936636e-04
tea time -0.07044079 4.636352e-05
other -0.33576960 1.254567e-05
milk -0.08737342 7.989362e-08
Not.always -0.10056783 1.721112e-08
Not.friends -0.10113377 1.307065e-08
Not.evening -0.10304138 7.269113e-09
home -0.32238212 5.642852e-11
No.sugar -0.13764789 5.278399e-17
breakfast -0.13921762 2.138445e-17
black -0.22772627 4.313358e-26
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