对 R 中多个数据框中的列求和

Question

I have multiple dataframes that I created in a for loop. They all have the same 3 columns, XLocs, YLocs, PatchStatus. XLocs and YLocs contain the same coordinates in each dataframe. PatchStatus can be either 0 or 1 depending how the model ran. Example of dataframe 1 looks like

print(listofdfs[1])

allPoints.xLocs allPoints.yLocs allPoints.patchStatus
1        73.5289654       8.8633913                     0
2        21.0795393      44.4840248                     0
3        51.5969348      21.7864016                     0
4        61.9007129      32.4763183                     1
5        62.3447741      41.0651838                     1
6        16.9311605       6.3765206                     0

And dataframe 2 looks like

print(listofdfs[2])

 allPoints.xLocs allPoints.yLocs allPoints.patchStatus
1        73.5289654       8.8633913                     0
2        21.0795393      44.4840248                     1
3        51.5969348      21.7864016                     0
4        61.9007129      32.4763183                     1
5        62.3447741      41.0651838                     1
6        16.9311605       6.3765206                     0

I'm hoping to have 1 resultant dataframe that has XLocs, YLocs, and SUM of patch status (note I plan on combining 15 data frames, so PatchStatus can be between 0 and 15).

Answer 1

We can bind the datasets together and do a group by sum

library(dplyr)
bind_rows(listofdfs) %>%
      group_by( allPoints.xLocs, allPoints.yLocs) %>%
      summarise(allPoints.patchStatus = sum(allPoints.patchStatus))

---

Or using rbind and aggregate from base R

aggregate(allPoints.patchStatus ~ ., do.call(rbind, listofdfs), FUN = sum)

Answer 2

I posted this answer along with the heatmap - Plot-3: https://stackoverflow.com/a/60974584/1691723

library('data.table')
df2 <- rbindlist(l = listofdfs)
df2 <- df2[, .(sum_patch = sum(allPoints.patchStatus)), by = .(allPoints.xLocs, allPoints.yLocs)]