回归使输入变量之一产生误差。“对比度只能应用于具有2个或多个级别的因数”。 [英] Regression gives error on one of the input variables "contrasts can be applied only to factors with 2 or more levels"

问题描述

我正在R中使用大量输入变量运行logit回归。

  newlogit<-glm（install。〜SIZES + GROSSCONSUMPTION .... + 
 NETTCONSUMPTION .... 。+ NETTGENERATION ....... + 
 GROSSGENERATION .... +变量。+固定+ 
 Cost.of.gross.cons + Cost.of.net.cons +节约成本+ 
代增+总节省额+系统成本+ 
回报+自我消费+总消费量太阳能+ 
所有者占用+邮政编码+郊区+市场。渗透+ 
 X..green.vote，数据= newdata，家庭=二项式）
  

我收到此错误：

对比错误<-（tmp，value = contr.funs [1 + isOF [nn] ]）：
对比只能应用于具有2个或更多水平的因子

请问为什么发生此错误，是否有办法运行此回归？

解决方案

它反对您的一个变量（如gvrocha所说）；您可能只有一个水平或一个字符串。

一个快速跟踪有问题的变量的技巧是进行区间平分和增加/减少col索引，直到触发错误为止。

最好使用数字（列索引）界面进行glm（ glm（data [，'安装。']〜data [，2：40]），请参见[1]）

而不是公式界面 glm（install。〜var1 + var2 + ... ：

[1] 在R中创建动态公式？

I am running a logit regression in R with a large number of input variables.

newlogit <- glm(install. ~ SIZES + GROSSCONSUMPTION.... + 
                NETTCONSUMPTION..... + NETTGENERATION....... + 
                GROSSGENERATION.... + Variable. + Fixed + 
                Cost.of.gross.cons + Cost.of.net.cons + Cons.savings + 
                generation.gains + Total.savings + Cost.of.system + 
                Payback + Self.consumption + Total.consumption.as.solar + 
                Owner.occupied + postcode + Suburb + Market.penetration + 
                X..green.vote, data = newdata, family = "binomial")

I am getting this error:

Error in contrasts<-(tmp, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels

Would you please be able to advise why this error is occurring and if there is a way to run this regression?

解决方案

It objects to one of your variables (as gvrocha said); you might have a factor with only one level, or a string.

A tip to quickly track down the offending variable(s) is to do interval bisection and increase/decrease the col indices till you trigger the error.

Best to use the numerical (column-index) interface to glm (glm(data[,'install.'] ~ data[,2:40]), see [1])

rather than the formula interface glm(install. ~ var1 + var2 + ...:

[1] Dynamic formula creation in R?

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