search for: aes_

I'm learning how to use ggplot in a programming approach where I supply variable names on the fly. Using aes_ doesn't work as I expected when x = factor(x). Is this a bug or am I not understanding something? # toy dataset df <- data.frame(LogicalVar = c(FALSE, TRUE, FALSE, TRUE, FALSE, TRUE), Var1 = c(0.01, 0.01, 1, 1, 30, 30), pct1 = c(12, 88, 60, 40, 93, 7),...

Buenas tardes chicos, estoy intentando hacer un gráfico que resuma para cada dia de la semana la información de algunos distritos específicos de los que contiene mi variable, ejecuto esta sintaxis pero me da un error Error: Mapping should be created with `aes() or `aes_()`. Alguien me puede orientar sobre que estoy haciendo mal, llevo mucho rato atascada. Muchas gracias df_nuevofinal %>% filter( District == "University" | District == "Boyer" | District == "Parc" | District == "Berri1") %>% group_by(week_day) %>...

Hi, On 08/05/17 16:37, Ista Zahn wrote: > One of the key strengths of R is that packages are not akin to "fan > created mods". They are a central and necessary part of the R system. > I would tend to disagree here. R packages are in their majority not maintained by the core R developers. Concepts, features and lifetime depend mainly on the maintainers of the package (even

...ey and colleagues did (and do) a great job implementing these ideas in R, but the ideas do have a respectable age. Third, there's a lot of nonstandard evaluation going on in all these packages. Using them inside your own functions requires serious attention (eg the difference between aes() and aes_() in ggplot2). Actually, even though I definitely see the merits of these packages in data analysis, the tidyverse feels like a (clean and powerful) macro language on top of R. And that's good, but that doesn't mean these parts are essential to transform R into a programming language. Rathe...