Removing time from dates in time column in 3 layer data frame in R

Question

I just wanted to eliminate the value that is this "T00:00:00" from the time columns from each of the 3 layers of my data frame in R. I dont know how to eliminate the a record from the data. My data looks like the following:

[[1]]

# A tibble: 1 x 3

  observation HRpcode timeseries

        <int> <chr>   <chr>  

1           1 NA      NA    

[[2]]

# A tibble: 74 x 3

   observation time                ` NDVI`

         <int> <chr>               <chr>

 1           1 2014-01-01T00:00:00 0.3793765496776215 

 2           2 2014-02-01T00:00:00 0.21686891782421552

 3           3 2014-03-01T00:00:00 0.3785652933528299 

# ... with 64 more rows

[[3]]

# A tibble: 74 x 3

   observation time                ` NDVI`    

         <int> <chr>               <chr>    

 1           1 2014-01-01T00:00:00 0.4071076986818826

 2           2 2014-02-01T00:00:00 0.09090719657570319

 3           3 2014-03-01T00:00:00 0.35214166081795284

# ... with 64 more rows

[[4]]

# A tibble: 74 x 3

   observation time                ` NDVI` 

         <int> <chr>               <chr>     

 1           1 2014-01-01T00:00:00 0.3412131556625801 

 2           2 2014-02-01T00:00:00 0.18815996897460135

 3           3 2014-03-01T00:00:00 0.5218904976415136 

# ... with 64 more rows

How do I isolate and manipulate the columns? 

Answer 1

What you can do is with the help of lapply function you can loop the lists and can easily eliminate the text after T.

Let us say the list is called list_df, the rest of the code is as follows:

list_df <- lapply(list_df, function(x) {x$time <- sub('T.*', '', x$time);x})

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