I continue developing the Monitor function. This time a video from "r twotorials”:
“how to access different records within a data frame by using logical tests in r”, gave me the idea to remove the zero values from a data set.
When somebody give you a table like the one I show, if the laboratory did not analyze a sample for any reason, I write a cero. So cero is not a reference value.
It will be diferent if we have for example: 0,001 or 0,00005, in this case we are managing very low concentrations, but we dont say just 0.
Anyway we can do a similar approach if we prefer "NA" indeed "0".
So, I prepare a new video with how the function performs right now:
Hope you like.