I have a problem with combining data frames which share the same rows. I imported rasters from different folders and converted them into data frames and tried to combine them to
You may adapt this solution. The order you can get by adding an id
column before merging.
res <- Reduce(function(...) merge(..., all=TRUE),
Map(`[<-`, All, "id", value=substring(names(All), 2)))
res[order(res$id), -3] # order here by `id`
# x y R2 R1
# 1 696060 -3327450 NA 66
# 3 696090 -3327450 NA 71
# 5 696120 -3327450 NA 69
# 7 696150 -3327450 NA 65
# 9 696180 -3327450 NA 67
# 11 696210 -3327450 NA 68
# 13 696240 -3327450 NA 67
# 15 696270 -3327450 NA 68
# 17 696300 -3327450 NA 69
# 19 696330 -3327450 NA 0
# 2 696060 -3327450 66 NA
# 4 696090 -3327450 71 NA
# 6 696120 -3327450 69 NA
# 8 696150 -3327450 65 NA
# 10 696180 -3327450 67 NA
# 12 696210 -3327450 68 NA
# 14 696240 -3327450 67 NA
# 16 696270 -3327450 68 NA
# 18 696300 -3327450 69 NA
# 20 696330 -3327450 0 NA
# 21 753810 -3339930 NA 109
# 23 753840 -3339930 NA 108
# 25 753870 -3339930 NA 108
# 27 753900 -3339930 NA 109
# 29 753930 -3339930 NA 108
# 31 753960 -3339930 NA 109
# 33 753990 -3339930 NA 109
# 35 754020 -3339930 NA 109
# 37 754050 -3339930 NA 110
# 39 754080 -3339930 NA 109
# 22 753810 -3339930 109 NA
# 24 753840 -3339930 108 NA
# 26 753870 -3339930 108 NA
# 28 753900 -3339930 109 NA
# 30 753930 -3339930 108 NA
# 32 753960 -3339930 109 NA
# 34 753990 -3339930 109 NA
# 36 754020 -3339930 109 NA
# 38 754050 -3339930 110 NA
# 40 754080 -3339930 109 NA
Data
All <- list(structure(list(x = c(696060L, 696090L, 696120L, 696150L,
696180L, 696210L, 696240L, 696270L, 696300L, 696330L), y = c(-3327450L,
-3327450L, -3327450L, -3327450L, -3327450L, -3327450L, -3327450L,
-3327450L, -3327450L, -3327450L), R1 = c(66L, 71L, 69L, 65L,
67L, 68L, 67L, 68L, 69L, 0L)), row.names = c(NA, -10L), class = "data.frame"),
structure(list(x = c(696060L, 696090L, 696120L, 696150L,
696180L, 696210L, 696240L, 696270L, 696300L, 696330L), y = c(-3327450L,
-3327450L, -3327450L, -3327450L, -3327450L, -3327450L, -3327450L,
-3327450L, -3327450L, -3327450L), R2 = c(66L, 71L, 69L, 65L,
67L, 68L, 67L, 68L, 69L, 0L)), row.names = c(NA, -10L), class = "data.frame"),
structure(list(x = c(753810L, 753840L, 753870L, 753900L,
753930L, 753960L, 753990L, 754020L, 754050L, 754080L), y = c(-3339930L,
-3339930L, -3339930L, -3339930L, -3339930L, -3339930L, -3339930L,
-3339930L, -3339930L, -3339930L), R1 = c(109L, 108L, 108L,
109L, 108L, 109L, 109L, 109L, 110L, 109L)), row.names = c(NA,
-10L), class = "data.frame"), structure(list(x = c(753810L,
753840L, 753870L, 753900L, 753930L, 753960L, 753990L, 754020L,
754050L, 754080L), y = c(-3339930L, -3339930L, -3339930L,
-3339930L, -3339930L, -3339930L, -3339930L, -3339930L, -3339930L,
-3339930L), R2 = c(109L, 108L, 108L, 109L, 108L, 109L, 109L,
109L, 110L, 109L)), row.names = c(NA, -10L), class = "data.frame"))