Open alejandraalvarezUU opened 1 year ago
Hi Alejandra,
if "data" is an Out (or more largely a Coo object), then coo_smooth(data, your_n) would help. Otherwise, try it on a single outline, say coo_smooth(data$coo[[1]], 5)
hope this helps,
v
Le jeu. 9 mars 2023 à 10:39, alejandraalvarezUU @.***> a écrit :
Hi!
I was trying to remove digitization noise from my data using the command
coo_smooth(data$coo, n)
But is not working, the error that it gives is:
Error in coo_check.default(coo) : do not know how to turn into a coo
I don´t understand why saying that.
Thank you for the help, have a lovely day,
Alejandra.
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-- vincentbonhomme.fr http://www.vincentbonhomme.fr cevennette.fr https://www.cevennette.fr 🌱
Hi!
So it did work, but I don´t understand this part of the code "coo[[1]], 5", so I know it is the coordinate for one of my organisms but which? And does this means that I have to do this for each of my samples? This is my first time using R, so I am not very acquainted with it yet.
Thank you for the help, have a lovely day,
Alejandra.
Le jeu. 9 mars 2023 à 12:23, alejandraalvarezUU @.***> a écrit :
Hi!
So it did work, but I don´t understand this part of the code "coo[[1]], 5",
this means, "acces the 1st outline in $coo (a list component) and do 5 smoothing iteration. See ?coo_smooth for help
so I know it is the coordinate for one of my organisms but which? And does this means that I have to do this for each of my samples?
of course not ;-) that's why you would use coo_smooth(your_Out, number_of_smoothing_iterations) -- see ?coo_smooth
This is my first time using R, so I am not very acquainted with it yet.
that's alright, we have all been there ! have a look to the tutorial : https://github.com/MomX/Momocs/releases/download/v1.4.0/Momocs_intro.html
Thank you for the help, have a lovely day,
Alejandra.
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Hi!
Thank you very much!!
Have a lovely day,
Alejandra.
Hi
in your opinion, which is the best number of iterations that can be used or how can I define this?
Thank you, have a lovely day,
Alejandra.
I d Say none ! Juste calibrate tour harmonica retour to sth reasonable Say 95% and et will handle digitization noise anyway ;)
Le jeu. 9 mars 2023 à 16:14, alejandraalvarezUU @.***> a écrit :
Hi
in your opinion, which is the best number of iterations that can be used or how can I define this?
Thank you, have a lovely day,
Alejandra.
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Hi!
Ahhh ok, thank you!
Have a lovely day,
Alejandra.
Hi!
I was trying to remove digitization noise from my data using the command
coo_smooth(data$coo, n)
But is not working, the error that it gives is:
Error in coo_check.default(coo) : do not know how to turn into a coo
I don´t understand why saying that.
Thank you for the help, have a lovely day,
Alejandra.