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Questions - regression

How can I perform and store linear regression models between all continuous variables in a data frame?

Let's say I'm using mtcars in R and I want to perform linear regressions between all possible combinations of numeric variables, and store them (in a list or maybe a different data structure if there'...
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gpreising

r

dataframe

loops

regression

Votes: 0

Answers: 1

Latest Answer

Assuming you need pairwise comparisons between all columns of mtcars, you can use combn() function to find all pairwise comparisons (2), and perform all linear models with: combinations <- combn(co...
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Fla28

In R can you manually set degrees of freedom for lm() or Anova()?

I am replicating SPSS code in R that runs several Type 3 ANOVAs. In SPSS you can specify specific contrasts in an ANOVA (e.g., compare level 2 v level 4 in this 5-level variable). The resulting ANOVA ...
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Merlin37

r

regression

anova

Votes: 0

Answers: 1

Latest Answer

How about using the linearHypothesis() function from the car package: library(car) data(Ornstein) mod <- lm(interlocks ~ log(assets) + sector + nation, data=Ornstein) linearHypothesis(mod, "n...
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DaveArmstrong

Create linear predictions with Stata

I want to run a regression of profits against time and see whether there is a change in the last 6 months. To do so, I want to have the regression before July and then get estimates for the whole year...
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Data_Science_110

regression

linear-regression

stata

predict

Votes: 0

Answers: 0

Fit data with scipy

I have two datasets, calculated from different equations, now I would like to fit both datasets to the same trend line, or to fit one dataset to another. I would like to constrain the blue dataset, wi...
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JCV

python

scipy

regression

data-fitting

scipy-optimize

Votes: 0

Answers: 1

Latest Answer

You can do this using numpy.polynomial.polynomial by fitting a second-degree polynomial to your data which uses a least-squares method. import numpy as np import numpy.polynomial.polynomial as poly im...
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Muhammad Mohsin Khan

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