glebas3: Urban large parcels in different urban contexts

In lfpdroubi/appraiseR: R Package For Real Estate Appraisals

Urban large parcels in different urban contexts

Description

A tibble containing a sample of 17 large parcels within differents urban contexts.

Usage

glebas3

Format

A tibble with 17 rows and 5 variables:

• R: id

• VU: unitary value per sq. meters

• AT: land area, in sq. meters

• ACESSO: dummy variable that indicates if the area is direct reachble or not

• SUP: dummy variable that indicates if the area was landfilled

Examples

data(glebas3)
fit <- lm(log(VU) ~ I(AT^-1) + ACESSO + SUP, data = glebas3)
library(effects)
plot(predictorEffects(fit, residuals = T), id = T,
      axes = list(
        grid = TRUE,
        x = list(rotate=30),
        y = list(transform=list(trans=log, inverse=exp), lab = "VU")
))
powerPlot(fit, axis="inverted", smooth = TRUE, methods = c("lm", "loess"))
p <- predict(fit, newdata = list(AT = 60000, ACESSO = factor(0),
                                  SUP = factor(1)),
               interval = "confidence", level = .80
            )
exp(p)
amplitude(exp(p)) # very good!

lfpdroubi/appraiseR documentation built on April 14, 2024, 10:27 p.m.