Tutorial by Topics: linear

lm(formula, data, subset, weights, na.action, method = "qr", model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, contrasts = NULL, offset, ...) ParameterMeaningformulaa formula in Wilkinson-Rogers notation; response ~ ... where ... contains terms corresponding to v...

int main(int argc, char *argv[]) ParameterDetailsargcargument count - initialized to the number of space-separated arguments given to the program from the command-line as well as the program name itself.argvargument vector - initialized to an array of char-pointers (strings) containing the ...

Most command line tools rely on arguments passed to the program upon its execution. Instead of prompting for input, these programs expect data or specific flags (which become booleans) to be set. This allows both the user and other programs to run the Python file passing it data as it starts. This s...

As of version 1.8, several of the routines in np.linalg can operate on a 'stack' of matrices. That is, the routine can calculate results for multiple matrices if they're stacked together. For example, A here is interpreted as two stacked 3-by-3 matrices: np.random.seed(123) A = np.random.rand(2,...

public static void main(String[] args) ParameterDetailsargsThe command line arguments. Assuming that the main method is invoked by the Java launcher, args will be non-null, and will have no null elements. When a regular Java application is launched using the java command (or equivalent), ...

Rust's standard library does not contain a proper argument parser (unlike argparse in Python), instead preferring to leave this to third-party crates. These examples will show the usage of both the standard library (to form a crude argument handler) and the clap library which can parse command-l...

Fitting a line (or other function) to a set of data points.

A model widely used in traditional statistics is the linear regression model. In this article, the objective is to follow the step-by-step implementation of this type of models. We are going to represent a simple linear regression structure. For our study, we will analyze the age of the children on...