How to change r code to Matlab
显示 更早的评论
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)
2 个评论
dpb
2019-4-5
My R syntax is too rusty...what's the wanted model in something can decipher?
Walter Roberson
2019-4-5
depth to be fit to O2^0.247 ??
采纳的回答
Bjorn Gustavsson
2019-4-5
编辑：Bjorn Gustavsson
2019-4-5
0 个投票
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
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Linear Algebra 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
