How to change r code to Matlab
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I have a code for linear fit in r that I want to do in matlab. I have converted up to this point and then not exactly sure how to do the rest.
This is a simple linear regression in r that uses the lm function that is "linearmodel" to create a simple linear regression model
fit=lm(dependant variable ~ indepentand varible)
the reture should be the coefficients of the model
Is there a way to do this in matlab
fit <- lm((log(obs$O2)-log(0.247))~ obs$depth + 0)
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Bjorn Gustavsson
2019 年 4 月 5 日
編集済み: Bjorn Gustavsson
2019 年 4 月 5 日
Well if it is as simple as a fit of a line to data you can always use polyfit, or lscov if you have known uncertainties in your measurements. Those functions is what I typically start with for fitting low-order polynomials to data. Those would give you polynomial coefficients (polyfit) and whatever coefficients you'd fit for with the lscov function (it allows you to build your fitting matrix A with whatever you like not just values of powers of independent variable...)
HTH
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