您如何使用Interactive（未组合）预测指标调用模型？
您如何使用Interactive（未组合）预测指标调用模型？
我有一个很好的回归模型：
lm_comb1 <- lm(cbind(MD_EARN_WNE_P10, X40.year.NPV) ~ SAT_AVG*TUITIONFEE_OUT*AVGFACSAL* RET_FT4_POOLED*INEXPFTE*C100_4_POOLED,data = training_set_NORM)
当我要求摘要（LM_COMB1）时，我遇到没问题。我希望检查添加多项式如何影响事物，因此我适合：
lm_comb1_POLY2 <- lm(formula = cbind(training_set_NORM$MD_EARN_WNE_P10, training_set_NORM$X40.year.NPV) ~ poly(training_set_NORM$SAT_AVG,2,raw=TRUE)*poly(training_set_NORM$TUITIONFEE_OUT,2,raw=TRUE)*poly(training_set_NORM$AVGFACSAL,2,raw=TRUE)*poly(training_set_NORM$RET_FT4_POOLED,2,raw=TRUE)*poly(training_set_NORM$INEXPFTE,2,raw=TRUE)*poly(training_set_NORM$C100_4_POOLED,2,raw=TRUE))
当我添加摘要（LM_COMB1_POLY2）时，R-MarkDown不会编织输出。它一直达到100％，但从未产生实际输出。我尝试编织HTML以及PDF。我没有收到错误消息，但是当我删除摘要（LM_COMB1_POLY2）输出是编织并恰好产生的。
有什么想法吗？我如何称呼m_comb1_poly2有什么些什么？ *而不是+操作员以某种方式拧紧事情吗？
注意：我没有提供数据，因为这个问题似乎并不要求可重复性。
干杯!
How do you call a model using interactive (not combined) predictors?
I've got a regression model that works great:
lm_comb1 <- lm(cbind(MD_EARN_WNE_P10, X40.year.NPV) ~ SAT_AVG*TUITIONFEE_OUT*AVGFACSAL* RET_FT4_POOLED*INEXPFTE*C100_4_POOLED,data = training_set_NORM)
When I call for summary(lm_comb1) I encounter no problem. I wish to check how adding a polynomial will affect things, so I fit:
lm_comb1_POLY2 <- lm(formula = cbind(training_set_NORM$MD_EARN_WNE_P10, training_set_NORM$X40.year.NPV) ~ poly(training_set_NORM$SAT_AVG,2,raw=TRUE)*poly(training_set_NORM$TUITIONFEE_OUT,2,raw=TRUE)*poly(training_set_NORM$AVGFACSAL,2,raw=TRUE)*poly(training_set_NORM$RET_FT4_POOLED,2,raw=TRUE)*poly(training_set_NORM$INEXPFTE,2,raw=TRUE)*poly(training_set_NORM$C100_4_POOLED,2,raw=TRUE))
When I add summary(lm_comb1_POLY2), however, R-markdown will not knit an output. It goes all the way to 100% but never produces an actual output. I've tried knitting to HTML as well as PDF. I do not receive an error message, but when I remove summary(lm_comb1_POLY2) the output is knit and produced just fine.
Any ideas? Is there something flakey about how I've called m_comb1_POLY2? Do the * rather than + operators screw things up somehow?
Note: I've provided no data as the question does not seem to call for reproducibility.
Cheers!
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它使我意识到尝试
，这似乎有效。但是，如果有任何专家来，请纠正我。希望这对别人有帮助！
It dawned on me to try
and this appears to work. If any experts come along, please do correct me, though. Hope this helps someone else!