Visualization of Dataframe
To fit a curve to some data frame in the R Language we first visualize the data with the help of a basic scatter plot. In the R language, we can create a basic scatter plot by using the plot() function.
Syntax:
plot( df$x, df$y)
where,
- df: determines the data frame to be used.
- x and y: determines the axis variables.
Example:
R
# create sample data sample_data <- data.frame(x=1:10, y=c(25, 22, 13, 10, 5, 9, 12, 16, 34, 44)) #create a basic scatterplot plot(sample_data$x, sample_data$y) |
Output:
Curve Fitting in R
In this article, we will discuss how to fit a curve to a dataframe in the R Programming language.
Curve fitting is one of the basic functions of statistical analysis. It helps us in determining the trends and data and helps us in the prediction of unknown data based on a regression model/function.
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