In tidyverse you can use . to reference the current dataframe. This is really useful for plotting. For example, I’d like to plot channels In7 and In12 in that order but by default In12 will come first. We could save an intermediate dataframe and re-level the factors, but by referencing the dataframe piped into mutate we can skip this step.
temp %>% # temp is a down-sampled ephys recording
ungroup() %>%
gather(key, value, c("In7", "In12")) %>%
mutate(key = factor(.$key, levels = c("In7", "In12"))) %>% # Note that if you have groupings, you'll need to get rid of them or supply a column of the same length as the group.
ggplot(aes(Time, value, color = key, group = interaction(key, Sweep)))+
geom_path().png)