r的相关语法
非常基本的问题，这是我第一次在R中编写语法。试图编写基本的相关语法。假设如下：x1（预测变量）和x2（潜在预测变量）将与y（结果变量）呈正相关，而不是x3（潜在的预测变量）。我该如何在r中写？
Very basic question, it's my first time writing syntax in R. Trying to write basic correlation syntax. Hypothesis is as follows: X1 (Predictor variable) and X2 (latent predictor variable) will be positively associated with Y (outcome variable), over and above X3 (latent predictor variable). How can I write this in R?
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不确定您的统计排骨是什么，但是由R平方值衡量的纯粹相关将严格增加模型的添加变量。因此，如果这些变量存储在数据框架
df中，则适合完整模型。使用
摘要（model_full）查看模型的摘要统计信息。适合还原模型。这是更复杂的东西来的。要测试
x1和x2的值，您可能想要一个 f-Test 测试x1和x2的系数在统计上是否显着不同零（这是我解释“超越x3”的方式）。要计算该测试，请使用Hope这会有所帮助！
Not sure what your statistics chops are, but pure the correlation as measured by the r-squared value will strictly increase with added variables to your model. So, if these variables are stored in data frame
df,fits the full model. Use
summary(model_full)to view summary statistics of the model.fits the reduced model. Here's where the more complicated stuff comes in. To test the value of
X1andX2, you probably want an F-test to test whether the coefficients onX1andX2are jointly statistically significantly different from zero (this is how I interpret 'above and beyondX3'). To compute that test, useHope this helps!