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Adds basic model.R file and calls run_model() #9

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17 changes: 17 additions & 0 deletions R/model.R
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
# =======================================================================
# Run a linear regression on the data and-
# check the model's performance and coefficients.
#
# Basic regression syntax is-
# lm([target] ~ [predictor / features], data = [data source])
#
# =======================================================================

# This is a single variable regression based on available data from sample
# sales_cma <- lm(sale_avg_3mo ~ cma, data = sample)
# summary(sales_cma)

# Plot the residuals
# plot(sales_cma$residuals, pch = 16, col = "red")

~
1 change: 1 addition & 0 deletions run.R
Original file line number Diff line number Diff line change
Expand Up @@ -3,5 +3,6 @@ if (!require('upstartr')) install.packages('upstartr'); library('upstartr')
run_config()
run_process()
run_analyze()
run_model()
run_visualize()
run_notebook()