From 175ac10904d0f31c3ffeeeed507c8914f13d0b15 Mon Sep 17 00:00:00 2001
From: leshe4ka46 <alex9102naid1@ya.ru>
Date: Sat, 13 Dec 2025 19:41:40 +0300
Subject: linr, logr

---
 R_LogR/main.r | 41 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)
 create mode 100755 R_LogR/main.r

(limited to 'R_LogR/main.r')

diff --git a/R_LogR/main.r b/R_LogR/main.r
new file mode 100755
index 0000000..748b0f4
--- /dev/null
+++ b/R_LogR/main.r
@@ -0,0 +1,41 @@
+#!/usr/bin/env Rscript
+
+# https://www.r-bloggers.com/2015/09/how-to-perform-a-logistic-regression-in-r/
+
+data <- read.csv("survey.csv")
+
+
+str(data)
+head(data)
+
+data$price20 <- ifelse(data$Price == 20, 1, 0)
+data$price30 <- ifelse(data$Price == 30, 1, 0)
+head(data)
+
+model <- glm(
+  MYDEPV ~ Income + Age + price20 + price30,
+  family = binomial(link = "logit"),
+  data = data
+)
+summary(model)
+
+coef(model)
+
+plot(data$Income, data$MYDEPV)
+
+
+test_dat <- data.frame(Income = seq(20, 100, 1), Age = 20, price20 = 1, price30 = 0)
+pred <- predict(model, newdata = test_dat, type = "response")
+
+lines(test_dat$Income, pred, col = "blue", lwd = 2)
+
+
+new_data3 <- data.frame(
+  Income = c(58),
+  Age = c(25),
+  price20 = c(1),
+  price30 = c(0)
+)
+
+predicted <- predict(model, newdata = new_data3)
+print(1 / (1 + exp(-predicted)))
-- 
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