import_emespy: Import (usually very huge) .xls files downloaded from the...

In MarloesEeftens/EMFtools: Helpful tools for research on the epidemiology of electromagnetic fields.

Description

Given the filename of a file downloaded from the EMEspy, this function imports the specified file into the R environment as a dataframe.

Usage

import_emespy(filename,prefix,suffix)

Arguments

filename	The complete filename (including path, name and extension) to the file you want to import into R.
prefix	(Optional, no default) Sometimes it is handy to import the column names with a prefix (e.g. "EMESPY_") so they are unique within the dataframe if you want to use the time series to compare with another instrument. The result of specifying a prefix is that all columns in the imported dataset (except for PosixTime) are named (e.g. "EMESPY_") EMESPY_dect, EMESPY_2100UL, etc.
suffix	(Optional, no default) Similar to above. The result of specifying a suffix (e.g. "_Vm") is that all columns related to frequency bands show this suffix in their variable name (e.g.) dect_Vm, 2100UL_Vm etc.

Value

The result is an R dataframe of your EMEspy file which is ready to work with.

Note

The EMEspy example .xls files are huge and therefore (sorry!) only available from within SwissTPH. But chances are you have your own anyways! If not, just contact me.

Author(s)

Marloes Eeftens, [e-mail]

Examples

#Specify an .xls file:
my_filename<-"V:/EEH/R_functions/EMFtools/data/emespy_example.xls"
my_emespy_file<-import_emespy(filename=my_filename,prefix="EMESPY_")
str(my_emespy_file)

MarloesEeftens/EMFtools documentation built on May 10, 2019, 5:16 a.m.