cartoconsumer(SensoMineR)
cartoconsumer()所属R语言包：SensoMineR
Preference Mapping Techniques and segmentation of consumers
消费者偏爱映射的技术和市场细分
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Performs preference mapping techniques based on multidimensional exploratory data analysis and segmentation of consumers.
执行偏好测绘技术的基础上多方面的探索性数据分析和市场细分的消费者。
用法----------Usage----------
cartoconsumer(res, data.pref, nb.clust=0, seuil=0.8, consol=TRUE, ncp=5,
scale.conso=TRUE,graph.carto=TRUE,graph.hcpc=FALSE, graph.group=FALSE,
col.min=7.5, col.max=0, contrast=0.2, level=0, asp=0,lwd=2)
参数----------Arguments----------
参数：res
the result of a factor analysis
的结果的一个因素分析
参数：data.pref
a data frame in which each row represent a product and each column represent the hedonic scores of a given consumer for the products
一个数据框中的每一行代表一种产品和每一列代表一个给定的产品的消费者享乐分数
参数：nb.clust
an integer. If 0, the tree is cut at the level the user clicks on. If -1, the tree is automatically cut at the suggested level (see details). If a (positive) integer, the tree is cut with nb.cluters clusters
一个整数。如果为0，树被切断用户点击的水平。如果为-1，树被自动切断，建议的水平（见详情）。如果整数（正的），树被切断与nb.cluters聚类
参数：seuil
the size of the area kept for each group of consumers
面积的大小保持为每个组消费者
参数：consol
a boolean. If TRUE, a k-means consolidation is performed
一个布尔值。如果为true，k-means的整合
参数：ncp
number of dimensions kept in the results (by default 5)
的尺寸保持在结果中（默认情况下，5）
参数：scale.conso
scale data by consumer
大规模的数据由消费者
参数：graph.carto
if TRUE, the preference map is displayed. If FALSE, no graph is displayed
如果为TRUE，图显示的偏好。如果为FALSE，没有图形显示
参数：graph.hcpc
if TRUE, graphics of segmentation (trees and indivuals map) are displayed. If FALSE, no graph are displayed
如果为TRUE，图形显示的分割（树木和indivuals图）的。如果为FALSE，不图显示
参数：graph.group
if TRUE, preference maps for each group are displayed. If FALSE, no map are displayed
如果是TRUE，各组的偏好图的显示方式。如果为FALSE，没有图显示
参数：col.min
define the color which match to the low levels of preference
定义的颜色相匹配的低级别的偏好
参数：col.max
define the color which match to the high levels of preference
定义的颜色相匹配的高水平的偏好
参数：contrast
define the color contrast between groups' areas and the rest of the map
定义组的区域和其余的图之间的颜色对比度
参数：level
the number of standard deviations used in the calculation of the preference response surface for all the consumers
数的标准偏差中使用的优先级的计算响应面可用于所有的消费者
参数：asp
if 1 is assigned to that parameter, the graphic displays are output in an orthonormal coordinate system
如果1被分配给该参数，图形显示输出中的一个正交坐标系
参数：lwd
control the line width for the outlines defining groups' areas
控制线的轮廓宽度定义组“范畴的
Details
详细信息----------Details----------
The preference mapping methods are commonly used in the fields of market research and research and development to explore and understand the structure and tendencies of consumer preferences, to link consumer preference information to other data and to predict the behavior of consumers in terms of acceptance of a given product.<br> This function refers to the method introduced by M. Danzart. A segmentation of consumers is performed, and a preference map is displayed for each group of consumers. The original preference map is built, the areas of each group are underlined thanks to a contrast, and the number of consumers is shown.
偏好映射方法中常用的市场调研和研发领域的探索和理解的结构和消费者的喜好倾向，链接，消费者偏好信息的其他数据和预测消费者的行为接受的产品<BR>此功能到，由M. Danzart介绍的方法是指。一个分割的消费者，消费者的偏好图显示各组。原始偏好图内置，各组的区域强调由于对比度，和消费者的数量示出。
（作者）----------Author(s)----------
Francois Husson <a href="mailto:husson@agrocampus-rennes.fr">husson@agrocampus-rennes.fr</a> <br>
Sophie Birot and Celia Pontet
参考文献----------References----------
finding out a consumer optimal product, its sensory profile and the key sensory attributes. 7th Sensometrics Conference, July 27-30, 2004, Davis, CA.<br>
参见----------See Also----------
MFA, GPA, carto
MFA，GPA，carto
实例----------Examples----------
## Not run: [＃不运行：]
## Example 1: carto on the sensory descriptors[例1：CARTO对感觉的描述符]
data(cocktail)
res.pca <- PCA(senso.cocktail)
results1 <- cartoconsumer(res.pca, hedo.cocktail)
results2 <- cartoconsumer(res.pca, hedo.cocktail,
graph.hcpc=TRUE,graph.group=TRUE)
## End(Not run)[＃（不执行）]
## Example 2[＃示例2]
## Not run: [＃不运行：]
data(cocktail)
res.mfa <- MFA(cbind.data.frame(senso.cocktail,compo.cocktail),
group=c(ncol(senso.cocktail),ncol(compo.cocktail)),
name.group=c("senso","compo"))
results3 <- cartoconsumer(res.mfa, hedo.cocktail)
## End(Not run)[＃（不执行）]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 00:56:16
