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Following the sum_ issue reported in #1, I have the same issue with the example provided in the readme.
I tried:
library(ggsankey)
library(dplyr)
#> #> Attaching package: 'dplyr'#> The following objects are masked from 'package:stats':#> #> filter, lag#> The following objects are masked from 'package:base':#> #> intersect, setdiff, setequal, union
library(ggplot2)
library(gapminder)
df<-gapminder %>%
group_by(continent, year) %>%
summarise(gdp= (sum_(pop*gdpPercap)/1e9) %>% round(0), .groups="keep") %>%
ungroup()
#> Error: Problem with `summarise()` input `gdp`.#> x could not find function "sum_"#> ℹ Input `gdp` is `(sum_(pop * gdpPercap)/1e+09) %>% round(0)`.#> ℹ The error occurred in group 1: continent = "Africa", year = 1952.
ggplot(df, aes(x=year,
node=continent,
fill=continent,
value=gdp)) +
geom_sankey_bump(space=0, type="alluvial", color="transparent", smooth=6) +
scale_fill_viridis_d(option="A", alpha=.8) +
theme_sankey_bump(base_size=16) +
labs(x=NULL,
y="GDP ($ bn)",
fill=NULL,
color=NULL) +
theme(legend.position="bottom") +
labs(title="GDP development per continent")
#> Error: You're passing a function as global data.#> Have you misspelled the `data` argument in `ggplot()`
My console error is different than reprex's for some reason; this is my console error:
Error: Problem with `summarise()` input `flow_freq`.
x could not find function "sum_"
ℹ Input `flow_freq` is `sum_(value)`.
ℹ The error occurred in group 1: n_x = 1952, node = "Oceania 1952", n_next_x = 1957, next_node = "Oceania 1957".
The text was updated successfully, but these errors were encountered:
Following the sum_ issue reported in #1, I have the same issue with the example provided in the readme.
I tried:
Created on 2021-04-03 by the reprex package (v1.0.0)
I also tried removing
sum_
and replacing withsum
when writing to the variabledf
, but I also had no luck.See here:
My console error is different than reprex's for some reason; this is my console error:
The text was updated successfully, but these errors were encountered: