This report was generated by the EnQuireR package Cadoret M., Fournier O., Fournier G., Le Poder F., Bouche J., Lˆe S. Agrocampus Ouest
July 28, 2010
EnQuireR
Agrocampus Ouest
Multivariate exploration of the questionnaire
Typology of the individuals
EnQuireR: Multivariate Exploratory Analysis of Questionnaires
Multivariate exploration of the questionnaire How is my dataset “structured”? How does my dataset look like? How can the main axes of variability be interpreted? Typology of the individuals How many groups are there in my dataset? How can the groups be displayed? How different are the groups? How can the groups be described?
EnQuireR
Agrocampus Ouest
Multivariate exploration of the questionnaire
Typology of the individuals
EnQuireR: Multivariate Exploratory Analysis of Questionnaires
Multivariate exploration of the questionnaire How is my dataset “structured”? How does my dataset look like? How can the main axes of variability be interpreted? Typology of the individuals How many groups are there in my dataset? How can the groups be displayed? How different are the groups? How can the groups be described?
EnQuireR
Agrocampus Ouest
Multivariate exploration of the questionnaire
Typology of the individuals
How is my dataset “structured”?
Percentages of variance explained by the first five axes
Axis
Eigenvalue
Percentage of variance
1
0.17309
9.64%
2
0.14647
8.16%
3
0.13214
7.36%
4
0.09238
5.14%
5
0.0782
4.35%
Table: Eigenvalues associated with the first five axes
Description of the first axis: negative side ( 3 / 8 ). The following ..... Distribution of the individuals per cluster for the variable walk.2.to.5.km group 1 group 2.
Consume.chips.potatoes_No. Consume.chips.potatoes_Yes. Figure 2: Representation of the individuals using density curbs and enhanced representation of the.
3.2.3 Number of individuals by cluster for the variable buy.white.meat . . . . . . 16. 3.2.4 Number of individuals ..... V-Test: 6.71. â Frequency in the population: 3 %.
... the variable feel.like.cooking . . . . . 15. 3.2.3 Number of individuals by cluster for the variable interested.molecular.cooking ..... Contribution: 5.04. â V-Test: 7.38.
Contents. 1 Quick overview of the questionnaire. 3. 2 Multivariate exploration of the ... 3.2.3 Number of individuals by cluster for the variable walk.0.to.2.km . ...... 8. Choice of the number of clusters by cutting the dendrogram hclust (*, "ward")
3.2.2 Number of individuals by cluster for the variable location.of.purchase . . . 14. 3.2.3 Number of .... ( no sugar , sugar ). ⢠shape ( bulk , tea bag , tea bag+bulk ).
frequency.buy.chocolate ( never , often , rarely , sometimes , very of- ten ). ⢠frequency.eat.chocolate ( many times a day , many times a week , never , once a ...
Jul 28, 2010 - New.bands.from.concerts ( very few , few , average , quite a lot , a lot ) ..... 59 70 81 55 88 40 11 49 50 89 90 13 72 10 74 32 76 94. 100.
Jul 28, 2010 - Moreover, 66.67 % of the individuals possessing this category belong to the cluster 1 . ⢠Fu- .... Canteen.value.for.money=Canteen.value.for.
Jul 28, 2010 - ... the questionnaire. The analysis was performed on 212 individuals described by 45 variables: ... When ( At dinner , At lunch , Snack Tea time ).
data; second, to automate the writing of .pdf reports and of Beamer type ... We will develop an example throughout this paper using the \tea" dataset included in the ..... 160. 161. 162. 163. 164. 165. 166. 167. 168. 169. 170. 171. 172. 173. 174.
Nov 4, 2009 - 2.1 afternoon.tea à evening . ... 2.2 afternoon.tea à after.lunch . ... The variables afternoon.tea and evening do not depend on each other for the.
Finally, we study degeneracies in the source separation problem where the characterization ... PC1Ъ can be diagonalized in the orthogonal group: PCЪ Ю Ð. Я.
o Why multivariate geostatistics. Introduction. ⢠Highlight structural relationship between variables. ⢠Improve the estimation of one variable using auxiliary ...
maximized (catalyst performance P expressed by yield, which is the product of ..... Diversity indicator: to set rules to compute distance between catalysts.
a generic fashion by means of a multivariate Von Mises dis- tribution. ... The last point is made possible by exploiting a previously ... where C(κ, ∆) is a normalizing constant and functions c and .... ables stable recovery of the phase vector φ and
Apr 27, 2013 - See work of Mircea Dumitru et al for weight loss prediction from the two genes ... Application to C5Sys data. â· Classification ... relating two genes expressions and toxicity ... Application to factor analysis of real biological time
Underlying Indices Modeling. â· Daily returns. S (t) : closing price of index i for the trading day t r , = log (S (t + 1)/S (t)). â· GARCH(1,1) r , = i + 7 , , Ï , = + β Ï , + α ...
Figure: Raw representation of the individuals on axes 1 and 2 ... bulk tea bag tea bag+bulk largeâscale retail stores largeâscale retail stores+specialized shop.
Mar 24, 2009 - variance Ï2 in each channel, the matrix takes the following form : Î. (n). 1. = Ï2 IB, ...... 2106, Dec. 2005. [DON 93] DONOHO D. L., « Unconditional bases are optimal bases for data compression and .... 123â151, Nov. 2005.
