README.md

In britttheuser/stat545B2: This package contains a function that summarizes and plots the linear relationship between 2 variables in a data se

lm.fit.and.graph

The goal of the lm.fit.and.graph package is to summarize and plot the linear relationship between 2 variables in a data set. It provides a linear model and a scatter plot fitted to the 2 variables that the user can specify.

Installation

The current function is not yet available on CRAN.

The development version from GitHub with:

# install.packages("devtools")
devtools::install_github("britttheuser/stat545B2")

Example

The following is an example application package using 2 variables (concave points mean and concavity mean) from the Cancer sample dataset.

library(lm.fit.and.graph)
correlation_lm_and_plot(datateachr::cancer_sample, datateachr::cancer_sample$concave_points_mean, datateachr::cancer_sample$concavity_mean)
#> [[1]]
#> 
#> Call:
#> stats::lm(formula = var1 ~ var2, data = data)
#> 
#> Residuals:
#>       Min        1Q    Median        3Q       Max 
#> -0.114759 -0.006785 -0.000398  0.007817  0.050935 
#> 
#> Coefficients:
#>              Estimate Std. Error t value Pr(>|t|)    
#> (Intercept) 0.0090946  0.0009476   9.597   <2e-16 ***
#> var2        0.4484782  0.0079442  56.454   <2e-16 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 0.01509 on 567 degrees of freedom
#> Multiple R-squared:  0.849,  Adjusted R-squared:  0.8487 
#> F-statistic:  3187 on 1 and 567 DF,  p-value: < 2.2e-16
#> 
#> 
#> [[2]]
#> `geom_smooth()` using formula 'y ~ x'

britttheuser/stat545B2 documentation built on Dec. 19, 2021, 11:46 a.m.