[英]R//ggplot2: Dynamic title when combining facet_wrap and for loop
I have a spatialtemporal dataset with various indicators for a set of location that I wish to map overtime.我有一个时空数据集,其中包含我希望加班绘制的一组位置的各种指标。
Here is my facet_wrap + loop这是我的 facet_wrap + 循环
#basemap
basemap <- ggplot() +
geom_sf(data= country_adm2) +
coord_sf() +
theme_void()
print(basemap)
#joining dataframe to polygons
df_poly <- left_join(country_adm2, df, by= "County") ##joins the data by County.
#loop & facet_wrap plots
## This goes over the dataset (df_poly) to plot the the three variables, and facet_wrap over ~Date to see time variation (over 12 months)
for(i in df_poly[40:42]){ ## the vars I wish to plot to iterate the temporal map through
imap <- basemap +
geom_sf(aes(fill = i), data= df_poly ) +
scale_fill_viridis(option = "cividis", direction= 1, alpha= 1, )+
facet_wrap(~ Date) + ##the temporal facet_wrap
ggtitle(paste0("Indicators:", i)) +
labs(fill = "% of\ncovered population")
print(imap)
}
The problem is that instead of having the actual names of var i
in ggtitle
I get the first value.问题是,我得到了第一个值,而不是在
ggtitle
中使用 var i
的实际名称。 How do I get to iterate through the names(df_poly[40:42])
properly for each of the plots?如何为每个图正确迭代
names(df_poly[40:42])
? I looked at various ways but none of them worked.我看了各种方法,但都没有奏效。
I reckon that the way I make the loop seems to be the issue.我认为我制作循环的方式似乎是问题所在。 I assume I need to loop over a list rather than directly the dataframe, however I am unsure how to do this.
我假设我需要遍历列表而不是直接遍历数据框,但是我不确定如何执行此操作。
Try this.尝试这个。 You have to loop over the names of your vars.
您必须遍历变量的名称。 I added comments starting with ## where I changed your code.
我添加了以 ## 开头的注释,其中我更改了您的代码。
#basemap
basemap <- ggplot() +
geom_sf(data= country_adm2) +
coord_sf() +
theme_void()
print(basemap)
#joining dataframe to polygons
df_poly <- left_join(country_adm2, df, by= "County") ##joins the data by County.
#loop & facet_wrap plots
## This goes over the dataset (df_poly) to plot the the three variables, and facet_wrap over ~Date to see time variation (over 12 months)
## loop over the names of the vars to plot
for(i in names(df_poly)[40:42]){ ## the vars I wish to plot to iterate the temporal map through
imap <- basemap +
## Convert names to symbols using!!sym()
geom_sf(aes(fill = !!sym(i)), data = df_poly ) +
scale_fill_viridis(option = "cividis", direction= 1, alpha= 1, )+
facet_wrap(~ Date) + ##the temporal facet_wrap
ggtitle(paste0("Indicators:", i)) +
labs(fill = "% of\ncovered population")
print(imap)
}
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