How to build model from index instead of name (see inside)?

[fomi]

Let's say I have this sample data:

Month	Spend	Sales
1	1000	9914
2	4000	40487
3	5000	54324

If I want to build a model I would do something like this:

dataset = read.csv("data-marketing-budget-12mo.csv", header=T)
simple.fit = lm(Sales~Spend, data=dataset)
summary(simple.fit)

but I want to be able to do it like this:

dataset = read.csv("data-marketing-budget-12mo.csv", header=T)
simple.fit = lm(dataset[3]~dataset[2], data=dataset)
summary(simple.fit)

[FJCC]

All you have to do is use [[ to call the column you want and there is no need to set the data parameter.

@fomi

dataset = read.csv ( "data-marketing-budget-12mo.csv" , header=T)
simple.fit = lm (dataset[[3]]~dataset[[2]])
summary (simple.fit)

[jcblum]

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