1. These folders may or may not contain.csv files. I want help writing a code that will select the main folder, and loop through the sub-folders, find the.csv files (if present) and move them to the main path (which is where the main folder is stored).
2. From there, access the mxd by referring to the path found in the 'file' variable. So, yes, you can do whatever you would normally do to an mxd file, by referencing the 'file' variable. I think you may be confusing walking through a file directory with using a cursor to loop through.

In order to Filter or subset rows in R we will be using Dplyr package. Dplyr package in R is provided with filter() function which subsets the rows with multiple conditions on different criteria.

Subset and select Sample in R: samplen Function in Dplyr The samplen function selects random rows from a data frame (or table).First parameter contains the data frame name, the second parameter of the function tells R the number of rows to select.

We will be using mtcars data to depict the example of filtering or subsetting.

• Filter or subset the rows in R using dplyr.
• Subset or Filter rows in R with multiple condition
• Filter rows based on AND condition OR condition in R
• Filter rows using slice family of functions for a matrix or data frame in R
• slice_sample() function in R returns the sample n rows of the dataframe in R
• slice_head() and slice_tail() function in R returns first n and last n rows in R
• subset and group by rows in R
• subset using top_n() function in R
• select or subset a sample using sample_n() and sample_frac() function in R

Filter or subset the rows in R using Dplyr:

Subset using filter() function.

Only the rows with cyl =6 is filtered

Filter or subset the rows in R with multiple conditions using Dplyr:

The rows with gear=4 or 5 are filtered

Filter or subsetting the rows in R with multiple conditions (AND) using Dplyr

The rows with gear= (4 or 5) and carb=2 are filtered

Filter or subsetting the rows in R with multiple conditions (OR) using Dplyr:

The rows with gear= (4 or 5) or mpg=21 are filtered

Filter or subsetting the rows in R with multiple conditions (NOT) using Dplyr:

The rows with gear!=4 or gear!=5 are filtered

R Loop Through Subdirectories

Filter or subsetting the rows in R with Contains condition using Dplyr:

hp which contains value 0 are filtered

Subset using Slice Family of function in R dplyr :

slice_head() function in R

slice_head() function returns the top n rows of the dataframe as shown below.

so the top 5 rows are returned

slice_tail() function in R

slice_tail() function returns the bottom n rows of the dataframe as shown below.

so the sample 5 rows are returned

slice_max() function in R

slice_max() function returns the maximum n rows of the dataframe based on a column as shown below.

so the max 5 rows based on mpg column will be returned

slice_min() function in R

slice_min() function returns the minimum n rows of the dataframe based on a column as shown below.

so the min 5 rows based on mpg column will be returned

slice_sample() function in R

R Loop Through Subfolders

slice_sample() function returns the sample n rows of the dataframe as shown below.

so the sample 5 rows are returned

Slice by Group in R

slice_head() by group in R: returns the top n rows of the group using slice_head() and group_by() functions

slice_tail() by group in R

slice_tail() by group in R returns the bottom n rows of the group using slice_tail() and group_by() functions

slice_sample() by group in R

slice_sample() by group in R Returns the sample n rows of the group using slice_sample() and group_by() functions

Using top_n() function in R:

Top n rows of the dataframe with respect to a column is achieved by using top_n() functions

so the resultant dataframe will be

for more details refer here

Subset and select Sample in R :

sample_n() Function in Dplyr

The sample_n function selects random rows from a data frame (or table). First parameter contains the data frame name, the second parameter of the function tells R the number of rows to select.

In the above code sample_n() function selects random 4 rows of the mtcars dataset. so the result will be

sample_frac() Function in Dplyr :

The sample_frac() function selects random n percentage of rows from a data frame (or table). First parameter contains the data frame name, the second parameter tells what percentage of rows to select

In the above code sample_frac() function selects random 20 percentage of rows from mtcars dataset. So the result will be.

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