Plot model predictors against the response variable with intervals

plotvar plots model variables with confidence/prediction intervals

plotvar(object, variable, func, interval = c("none", "confidence",
  "prediction"), level = 0.8, local, ...)

Arguments

object	object of class lm
variable	variable to be plotted against response variable
func	function used to transform the response (optional)
interval	the type of interval calculation (provided to predict.lm) to be ploted.
level	Tolerance/confidence level (provided to predict.lm) to be ploted.
local	Data Frame to be used for calculate the estimates (defaults for center of each variable).
…	further arguments passed to predict.lm.

Examples

data <- centro_2015@data
fit <- lm(log(valor) ~ ., data = data)
plotvar(fit, "area_total", interval = "confidence")
#> Error in stats::terms.formula(stats::formula(z), data = data): argumento 'data' é do tipo errado
plotvar(fit, "area_total", "log", interval = "confidence")
#> Error in stats::terms.formula(stats::formula(z), data = data): argumento 'data' é do tipo errado
plotvar(fit, "area_total", interval = "confidence",
        local = list(area_total = 205, quartos = 3, suites = 1, garagens = 2,
        dist_b_mar = 250, padrao = "medio"))
#> Error in stats::terms.formula(stats::formula(z), data = data): argumento 'data' é do tipo errado
plotvar(fit, "padrao", interval = "confidence")
#> Error in stats::terms.formula(stats::formula(z), data = data): argumento 'data' é do tipo errado
plotvar(fit, "padrao", "log", interval = "confidence")
#> Error in stats::terms.formula(stats::formula(z), data = data): argumento 'data' é do tipo errado