How to See Data from .Rdata File

How to read .rdata file in R

Just semove the df <- in your code.

load() will load all the objects contained in the .RData file. This can be multiple variables and dataframes with various names, so you do not need to specify one object name.

How to extract code from .Rdata file?

You can try loading the RData file, and listing its contents:

load("mydata.RData", verbose=TRUE)

Then, you can view the code behind the objects loaded. For instance, if you just loaded a function called myfunc you could view the definition by just entering the function's name:

myfunc

Read dataframe from list in multiple RData files

Loop through filenames, load, then extract the dataframe, (not tested):

dfList <- lapply(my_files, function(i){
  load(i)
  Z$df
  })

R: Unable to view data when importing RData file

Check out head(dfAllxY). The load command doesn't return an object, it returns the names of all the objects it loaded from the RData file since RData file may contain more than one object. Read the ?load help page for more information.

Extracting specific data from an RData file

after putting the rdata file in your working directory, do something like

load("C:/Users/1_adm.RData", ex <- new.env())
ls.str(ex)

The rdata loads variable into your workspace so that command will show you what the variable names are, so you can then use them.

I don't have the file you're talking about so I can't tell you how to access the specific fields you need.

edit

Based on your comment:
Ok so the object you load is an object of type SpatialPolygonsDataFrame, and that has a Slot/property called Polygons, with objects of type Polygon. Those polygons I assume are the lat lng coordinates around the country. Accessing the coordinates should look something like

ps <- gadm@polygons[1]   

then something like

ps@coords  

load .Rdata file into list()

Using load inside mget with other envir=onment than the .GlobalEnv.

d1 <- d2 <- d3  <- d4 <- data.frame()
save(d1, d2, d3, d4, file="test.rda")
rm(d1, d2, d3, d4)

x <- mget(load("test.rda", envir=(NE. <- new.env())), envir=NE.)
ls()
# [1] "NE." "x" 
x
# $d1
# data frame with 0 columns and 0 rows
# 
# $d2
# data frame with 0 columns and 0 rows
# 
# $d3
# data frame with 0 columns and 0 rows
# 
# $d4
# data frame with 0 columns and 0 rows

Programmatically extract an object from collection of RData files

We found a useful solution.

1. An extractor function

 extractorRData <- function(file, object) {
      #' Function for extracting an object from a .RData file created by R's save() command
      #' Inputs: RData file, object name
      E <- new.env()
      load(file=file, envir=E)
      return(get(object, envir=E, inherits=F))
    }

2. Extract a data frame "allParams" from RData file "priorRun.RData" without loading the entire environment.

      allParams.prior <- extractorRData("priorRun.RData", "allParams")

This approach has proven to be both fast, and flexible. Useful with large data frames that would be slow to reconstruct.

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