R:多元线性回归模型和预测模型 [英] R: multiple linear regression model and prediction model

问题描述

从线性model1 = lm(temp~alt+sdist)开始，我需要建立一个预测模型，在该模型中可以获取新数据并做出有关temp的预测.

Starting from a linear model1 = lm(temp~alt+sdist) i need to develop a prediction model, where new data will come in hand and predictions about temp will be made.

我试图做这样的事情:

model2 = predict.lm(model1, newdata=newdataset)

但是，我不确定这是正确的方法.我想知道的是，这是否是对temp进行预测的正确方法.当涉及到newdataset时，我也有些困惑.哪些值应填写等?

However, I am not sure this is the right way. What I would like to know here is, if this is the right way to go in order to make prediction about temp. Also I am a bit confused when it comes to the newdataset. Which values should be filled in etc.?

推荐答案

我将注释中的所有内容放入此答案中.

I am putting everything from the comments into this answer.

1)您可以使用predict而不是predict.lm，因为predict会知道您的输入属于lm类，并且会自动执行正确的操作.

1) You can use predict rather than predict.lm as predict will know your input is of class lm and do the right thing automatically.

2 newdataset应该是具有与原始预测变量相同的变量的data.frame-在这种情况下为alt和sdist.

2 The newdataset should be a data.frame with the same variables as your original predictors - in this case alt and sdist.

3)如果默认情况下使用read.table导入数据，它将创建一个data.frame.假设新数据具有名为alt和sdist的列，则可以执行以下操作:

3) If you are bringing in you data using read.table by default it will create a data.frame. This assumes that the new data has columns named alt and sdist Then you can do:

NewDataSet<-read.table(whatever)
NewPredictions<- predict(model1, newdata=NewDatSet)

4)完成此操作后，如果要检查预测，则可以执行以下操作

4) After you have done this if you want to check the predictions - you can do the following

summary(model1)

这将为您提供alt和sdist的截距和系数 NewDataSet [1，] 这应该为第一行提供alt和sdist值，您可以将括号中的1更改为所需的任何行.然后使用summary(model1)中的信息，使用您信任的任何方法来计算预测值.

This will give you the intercept and the coefficients for alt and sdist NewDataSet[1,] This should give you the alt and sdist values for the first row, you can change the 1 in the bracket to be any row you want. Then use the information from summary(model1) to calculate what the predicted value should be using any method that you trust.

最终使用 新预测[1] 以获得predict()在第一行中给您的内容(或将1更改为其他任何行)

Finally use NewPredictions[1] to get what predict() gave you for the first row (or change the 1 to any other row)

希望这一切都会解决.

这篇关于R:多元线性回归模型和预测模型的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！