Description Usage Arguments Details Value Examples
Save a sequence of still images to disk with a single function call and data frame.
1 |
data |
a data frame containing networks, tiles, lines or polygons information. |
style |
character, must be |
use_mclapply |
|
mc.cores |
integer, the number of CPU cores requested for parallel processing, passed to |
... |
additional arguments passed to |
save_seq
is a convenient wrapper function for save_map
and save_ts
. It provides some moderate generality and abstraction
by moving the most proximal aspects of data preparation inside the function, i.e., breaking a data frame into a list of data frame subsets by plot ID
and passing each explicitly to iterative calls to either save_map
or save_ts
.
The option for parallel processing on Linux systems (by forking with parallel::mclapply
) is also part of save_seq
.
Using mclapply
was chosen for convenience and may be changed in a future package version.
It does not save much in the way of gross typing, but calling a single wrapper function, passing mostly the same arguments,
and not having to explicitly call save_map
or save_ts
withing the context of map
or walk
calls is arguably
cleaner, simpler, and less complex for some use cases.
The additional arguments ...
passed to save_map
or save_ts
are required, not optional.
Any call to save_seq
will consist mostly of these arguments.
It is best to first make sure you can successfully call save_map
and save_ts
directly. Then try this wrapper function.
See the intoductory vignette for details: browseVignettes(package="mapmate")
.
usually returns NULL after writing files to disk. May optionally return a list of ggplot objects with or without the file writing side effect.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
library(dplyr)
library(purrr)
data(annualtemps)
temps <- mutate(annualtemps, frameID = Year - min(Year) + 1) %>%
group_by(Year, frameID) %>% summarise(z=mean(z))
xlm <- range(temps$Year)
ylm <- range(temps$z)
# should specify a dir or set working dir for file output
# consider running over a smaller subset of frame IDs
save_seq(temps, style="tsline", x="Year", y="z", id="frameID",
col="blue", xlm=xlm, ylm=ylm)
## End(Not run)
|
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