I have a time series of indoor temperature measurements that I need to classify into heating and non-heating episodes. I applied a classification algorithm and it worked in most cases. The cases where it misclassified is easy to spot on a scapperplot with the class as color.
It looks similar to this:
library(ggvis)
all_values <- function(x) {
if(is.null(x)) return(NULL)
paste0(names(x), ": ", format(x), collapse = "<br />")
}
mtcars %>% ggvis(x = ~wt, y = ~mpg) %>% layer_points(fill = ~factor(am)) %>% add_tooltip(all_values, "click")
Except that I need a way to change the value of the variable "am" and store it
