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R solve() is a generic function that solves the linear algebraic equation a %*% x = b for x, where b can be either a vector or a matrix. For example 10 * x = 20, in this equation, 10 is the coefficient; 20 is a constant and solve() calculates x which is 2.

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1. Quick Examples of solve() Function in R

Following are quick examples of solve() function that solves the different equations.


# calculate x using solve()
solve(10, 20)
solve(3, 6)
solve(4, 20)

# with two variables
a <- matrix(c(3,1,4,1),nrow=2,ncol=2)
b <- matrix(c(10,4),nrow=2,ncol=1)
print(a)
print(b)
res <- solve(a,b)
print(res)

# with matrix
a <- c(2, 1) 
b <- c(5, 3) 
xyz <- rbind(a, b) 
print(xyz)
solve(xyz)

# with 4x4 matrix
a <- c(2, 1, 3, 3) 
b <- c(5, 3, 5, 4) 
c <- c(6, 5, 9, 6)
d <- c(1, 3, 2, 2)
xyz <- rbind(a, b, c, d) 
print(xyz)
res <- solve(a=xyz) 
print(res)

2. solve() Syntax

Below is the syntax of the solve() equation function.


# Syntax of solve()
solve(a, b, …)

The following are the parameters.

  • a – A square numeric or complex matrix. It is the coefficients of the equation.
  • b – A numeric or complex vector or matrix of the equation. It is optional.
  • ... – Further arguments passed to or from other methods.

3. R solve() Equation Example

By using solve() function in R you can solve algebraic equations like a %x% = b. The solve() function takes arguments a and b as arguments and calculates x. Also, use this function to calculate complex equations like finding the value for x and y. Let’s see the first example which finds the value of x.


# One variable example
# 10x = 20
# What is the x?
solve(10, 20)

# Output
# [1] 2

Below are some more examples.

r solve

4. R solve() with Matrix

solve() also takes a matrix as an argument for param a. Let’s create two vectors using combine function c(). and using rbind() function let’s bind these into a matrix. The below example demonstrates finding values for two variables x and y.


# Two variable example
# 3x + 4y = 10
# x + y = 4
# What is x and y?

# Example
a <- matrix(c(3,1,4,1),nrow=2,ncol=2)
b <- matrix(c(10,4),nrow=2,ncol=1)
print(a)
print(b)
res <- solve(a,b)
print(res)

# x value is -6
# y value is 4

Yields below output. The row and column names of the equation result are taken from the column names of a and of b respectively. If b is missing the column names of the result are the row names of a.

5. Using Just Param a and default b

Let’s pass the one param a to the R solve() function and leave the b as default.


# solve() with matrix
a <- c(2, 1) 
b <- c(5, 3) 
xyz <- rbind(a, b) 
print(xyz)
solve(xyz)

Yields below output.

r solve equation

Let’s check another example with 4 x 4 matrix.


# with 4x4 matrix
a <- c(2, 1, 3, 3) 
b <- c(5, 3, 5, 4) 
c <- c(6, 5, 9, 6)
d <- c(1, 3, 2, 2)
xyz <- rbind(a, b, c, d) 
print(xyz)
res <- solve(b=xyz) 
print(res)

Yields below output.

sove in r

6. Conclusion

In this article, you have learned R solve() is a generic function that solves the linear algebraic equation a %*% x = b for x, For example 10 * x = 20, in this equation, 10 is the coefficient; 20 is a constant and solve() calculates x which is 2.

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References

Naveen Nelamali

Naveen Nelamali (NNK) is a Data Engineer with 20+ years of experience in transforming data into actionable insights. Over the years, He has honed his expertise in designing, implementing, and maintaining data pipelines with frameworks like Apache Spark, PySpark, Pandas, R, Hive and Machine Learning. Naveen journey in the field of data engineering has been a continuous learning, innovation, and a strong commitment to data integrity. In this blog, he shares his experiences with the data as he come across. Follow Naveen @ LinkedIn and Medium