RPregression {RPregression}

Perform Regression Analysis and Plot Results

Description

This function allows you to run a regression analysis, generate a regression table, create a scatter plot, and download the results, all without the need for additional packages such as 'stargazer', 'ggplot2', or 'ggthemes'. With just two lines of code, you can perform a regression analysis, visualize the results, and save the output.

Usage

RPregression(x, y, table = "text", plot = FALSE, xlab = "", ylab = "", 
             title = "", subtitle = "", caption = "", plottheme = "theme_grey()", 
             download = FALSE, color_points = "black", color_line = "red", 
             ci = TRUE, sd = FALSE)

Arguments

x

The independent variable.

y

The dependent variable.

table

The format for the regression table ("text", "html", or "latex").

plot

Logical, whether to generate a plot.

xlab

Label for x-axis in the plot.

ylab

Label for y-axis in the plot.

title

The title for the regression table and plot.

subtitle

Subtitle for the plot (optional).

caption

Caption for the plot (optional).

plottheme

Theme for the plot (default is "theme_grey()").

download

Logical, whether to save the regression table as a text file.

color_points

Color for points in the plot (default is "black").

color_line

Color for the regression line (default is "red").

ci

Logical, whether to include confidence interval in the plot (default is TRUE).

sd

Logical, whether to include standard deviation bars in the plot (default is FALSE).

Value

If plot is TRUE, a plot is generated. Otherwise, a regression table is printed.

Author(s)

Raghav Puri Maintainer: Raghav Puri <[e-mail]>

Examples

RPregression(mtcars$mpg, mtcars$wt, table = "text", title = "Regression Analysis",
plot = TRUE, xlab = "mpg", ylab = "wt", plottheme = "theme_grey()", download = FALSE)