问题描述
我正在使用R软件(R指挥官)对我的数据进行聚类.我有一个较小的数据子集，包含200行和约800列.尝试kmeans聚类并在图形上绘制时，出现以下错误.'princomp'只能用于比变量更多的单位"
I am using R software (R commander) to cluster my data. I have a smaller subset of my data containing 200 rows and about 800 columns. I am getting the following error when trying kmeans cluster and plot on a graph. "'princomp' can only be used with more units than variables"
然后我创建了一个10行和10列的测试文档，其中的图表可以正常显示，但是当我添加额外的列时，我再次遇到错误.为什么是这样?我需要能够绘制我的群集.在执行kmeans后查看数据集时，我可以看到额外的结果列，其中显示了它们所属的群集.
I then created a test doc of 10 row and 10 columns whch plots fine but when I add an extra column I get te error again.Why is this? I need to be able to plot my cluster. When I view my data set after performing kmeans on it I can see the extra results column which shows which clusters they belong to.
如果我做错了什么，我可以摆脱这个错误并绘制更大的样本吗???请帮忙，现在已经让我头疼了一个星期.谢谢大家.
IS there anything I am doing wrong, can I ger rid of this error and plot my larger sample???Please help, been wrecking my head for a week now.Thanks guys.
推荐答案
问题是变量比采样点多，并且正在进行的主成分分析失败.
The problem is that you have more variables than sample points and the principal component analysis that is being done is failing.
在princomp的帮助文件中进行了说明(请阅读?princomp):
In the help file for princomp it explains (read ?princomp):
‘princomp’ only handles so-called R-mode PCA, that is feature
extraction of variables. If a data matrix is supplied (possibly
via a formula) it is required that there are at least as many
units as variables. For Q-mode PCA use ‘prcomp’.
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