[R] split dataframe to several dataframes in R

[Chris Campbell]

# Assuming you want to create many data frames, you can use        
# assign to create new objects.         
newDFNames <- unique(means$source)                   
newDFNames                    
# [1] "iris1.csv" "iris2.csv"                     
for (nm in newDFNames) {                    
     assign(x = nm,             
         value = means[means$source == nm, , drop = FALSE],             
         envir = .GlobalEnv)             
}             
             
iris1.csv             
#           Sepal.Length Sepal.Width Petal.Length Petal.Width    source             
# iris1.csv     5.843333    3.057333        3.758    1.199333 iris1.csv             
             
iris2.csv             
#           Sepal.Length Sepal.Width Petal.Length Petal.Width    source              
# iris2.csv     5.843333    3.057333        3.758    1.199333 iris2.csv             
    
# However, it may be that storing your     
# data objects as a single object, such as a list, is more useful.    
    
Chris Campbell, PhD    
  
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-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Zilefac Elvis via R-help
Sent: 17 February 2015 03:54
To: R. Help
Subject: [R] split dataframe to several dataframes in R

Hi All,I have a dataframe called 'means' as shown below:iris1.csv <- iris iris2.csv <- iris names <- c("iris1.csv", "iris2.csv") dat <- mget(names)
lst4 <- lapply(dat, function(x) apply(x[,-5], 2, mean))

# Build the new data frame
means <- as.data.frame(do.call(rbind, lst4)) means$source <- names(lst4) means
#           Sepal.Length Sepal.Width Petal.Length Petal.Width       isv    source
# iris1.csv     5.843333    3.057333        3.758    1.199333 0.3333333 iris1.csv
# iris2.csv     5.843333    3.057333        3.758    1.199333 0.3333333 iris2.csvQUESTION: How can I split 'means' such that there are two files (dataframes) on my workspace:datframe 1#           Sepal.Length Sepal.Width Petal.Length Petal.Width       isv    
# iris1.csv     5.843333    3.057333        3.758    1.199333 0.3333333dataframe 2:#           Sepal.Length Sepal.Width Petal.Length Petal.Width       isv# iris2.csv     5.843333    3.057333        3.758    1.199333 0.3333333
Many thanks,Asong.
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