I am running the same regression with small alterations of x variables several times. My aim is after having determined the fit and significance of each variable for this linear regression model to vi
I wonder how to add regression line equation and R^2 on the ggplot. My code is: library(ggplot2) df <- data.frame(x = c(1:100))
I\'m using Dynamic Data Display (D3) to render a few simple LineSeries on a chart: <d3:ChartPlotter>
I have [x,y] pairs where x value is in Unix- time values and y in float. I am needing to find the best fit line for this series. I am using t开发者_如何转开发he linear regression model as in this link
I have a text file in the form ( User Id, Movie Id, Ratings, Time) and I want to do a vanilla regression on the dataset .( Just 4 features, >4 million instances)
I want to carry out a linear regression in R for data in a normal and in a double logarithmic plot. For normal data the dataset might be the follwing:
I want to compute ordinary least square (OLS) estimates in R without using \"lm\", and this for several reasons. First, \"lm\" also computes lots of stuff I don\'t need (such as the fitted values) con
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So, i\'m trying to understand how the SVM algorithm works but i just cannot figure out how you transform some datasets in points of n-dimensional plane that would have a mathematical meaning in order
As you know, with an option CORRB, you can let logistic regression or linear regression in SAS to output a correlations of estimates matrix. Interestingly, I am not sure how to read this matrix. I hav
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