Converting an array to a formula in R -

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I have an array with a date. I want to plot a loss curve with it. However, the input for the lat is a formula. Is the array a good way to define the value from the index which I can give to the loot function?

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See help page for <0> code (Loos) - There are some examples of specifying threads in it. Basically, you have to put your data into a data.frame object with the given variable name, then the formula will be y ~ x , where x and y are the names of the variables you want on x- and y-axis, respectively.

I have the function lowess () , which is a fast, simple option in which there are fewer adjustable parameters than less () Only good. Below are the differences between the two functions.

Below is a simple example for both huses () and bothess ()

> ## An example data set Make x & lt; - Sort (rpi (10010) + turnarah (100,02) y & lt; - x ^ 2 + rnorm (1007) DF & Lt; - data.frame (x = x, y = y) plot (x, y) ## least fit and plot it l.fit1 & lt; - lines (x, y, f = 0.3) lines (l.fit1, lat (y = x, data = df) lines (x, estimated (l.fit2, x), col = 3, l = 2, lwd = 2) LWD = 2)

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