使用R进行线性预测:如何访问预测参数? [英] Doing linear prediction with R: How to access the predicted parameter(s)?

问题描述

我是R的新手，我正在尝试进行线性预测.这是一些简单的数据:

I am new to R and I am trying to do linear prediction. Here is some simple data:

test.frame<-data.frame(year=8:11, value= c(12050,15292,23907,33991))

说我是否要预测year=12的值.这就是我正在做的(使用不同的命令进行实验):

Say if I want to predict the value for year=12. This is what I am doing (experimenting with different commands):

lma=lm(test.frame$value~test.frame$year)  # let's get a linear fit
summary(lma)                              # let's see some parameters
attributes(lma)                           # let's see what parameters we can call
lma$coefficients                          # I get the intercept and gradient
predict(lm(test.frame$value~test.frame$year))  
newyear <- 12                             # new value for year
predict.lm(lma, newyear)                  # predicted value for the new year

一些查询:

1. 例如，如果我发出命令lma$coefficients，则会向我返回两个值的向量.如何只选择截距值?

1. if I issue the command lma$coefficients for instance, a vector of two values is returned to me. How to pick only the intercept value?

使用predict.lm(lma, newyear)可以获得很多输出，但是无法理解预测值在哪里.有人可以澄清一下吗?

I get lots of output with predict.lm(lma, newyear) but cannot understand where the predicted value is. Can someone please clarify?

非常感谢...

推荐答案

拦截:

lma$coefficients[1]

预测，试试这个:

test.frame <- data.frame(year=12, value=0)
predict.lm(lma, test.frame)   

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