Help for a Student Thesis

manovdbo · August 2, 2024, 8:54am

Hello,

My name is Manon and I am a second-year master's student in bioengineering agronomic sciences in Belgium. As part of my studies, I have to complete a thesis that is due on August 12th. I am struggling with statistical analyses and would like to find help on this forum. I conduct all my analyses using the RStudio software.

I am not quite sure where to post my question, so I am posting it here in the hope of finding someone who can urgently assist me (yes, the submission date is approaching soon...). My research focuses on a particular species of bees, meliponines, and the traditional uses of their honey in communities in Guinea Conakry. I went there to create a database that gathers a variety of information. Here are my research questions:

What are the various non-food uses of meliponine honey in and around the Pinselli-Soyah-Sabouyah park?
Are there specific uses associated with a particular species of meliponine?
Is there a transmission of traditional knowledge from one generation to another?
Could meliponiculture develop in Guinea Conakry?

My main problem is that I have no idea what data analysis to perform to answer these questions. Currently, I have done visualization (dendrogram, presence/absence table, and relationship networks) but have not performed any statistical tests. If anyone could help guide me and advise me on which statistical tests to use (considering my coding level is very low), I would be very grateful!

Thank you in advance

jrkrideau · August 2, 2024, 8:08pm

Hi, welcome to the forum.

We need to know a great deal more about what your study is doing before we can offer any advice. Also, for strictly statistical advice rather than R coding advice you probably are better off asking at CrossValidated which specialises in statistical advice.

I think that in order for someone here to offer any advice we really need a fairly detailed outline of your study, the various variables that you are looking at, and why you were looking at them. We probably need an expanded abstract or a summary of your original research proposal.

From an R coding point of view, it would be helpful if we could see the code that you have already written and a sample of your data.

Copy the code and paste it here between
```

```

To supply some sample data use the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where mydata is your data. Copy the output and paste it here between
```

```

manovdbo · August 3, 2024, 9:46am

Hello, first of all many thanks for your reply!

Here's a quick summary of my topic: This dissertation explores the non-food uses of honey from melipona bees in the Pinselli-Soyah-Sabouyah park in Guinea Conakry, focusing on the transmission of traditional knowledge. The study identified local Melipona species, documented traditional uses of honey, and assessed their cultural significance. Through 73 interviews in 16 localities, it was revealed that honey is used primarily as medicine, but also for ritual and spiritual values. The results underline the importance of preserving this traditional knowledge in order to promote honey farming and enhance the value of local knowledge in Africa.

I've also attached an overview of my database of honey uses by species. I also have other data, but not yet in csv format. I have personal information on the people interviewed, such as their age, ethnicity, level of education, where they live, etc.

I know it's possible to find the answer to these questions without using statistics, but it's compulsory to use them at my university. I'm willing to add research questions to incorporate statistics. I'd like to find a way of highlighting the relationship between certain species and certain uses of honey. Or a link between the age, level of education, etc. of the participants and their knowledge. Linking the amount of medical knowledge in a village to the distance to the nearest hospital. I am open to any proposal!

Thank you so much

> dput(mydata)
structure(list(Samples = c("Dactylurina sp. 1", "Dactylurina sp. 2", 
"Dactylurina sp. 3", "Dactylurina sp. 4", "Dactylurina sp. 5", 
"Dactylurina sp. 6", "Dactylurina sp. 7", "Dactylurina sp. 8", 
"Dactylurina sp. 9", "Dactylurina sp. 10", "Dactylurina sp. 11", 
"Dactylurina sp. 12", "Dactylurina sp. 13", "Dactylurina sp. 14", 
"Dactylurina sp. 15", "Dactylurina sp. 16", "Dactylurina sp. 17", 
"Dactylurina sp. 18", "Dactylurina sp. 19", "Dactylurina sp. 20", 
"Dactylurina sp. 21", "Dactylurina sp. 22", "Dactylurina sp. 23", 
"Dactylurina sp. 24", "Dactylurina sp. 25", "Dactylurina sp. 26", 
"Dactylurina sp. 27", "Dactylurina sp. 28", "Dactylurina sp. 29", 
"Dactylurina sp. 30", "Dactylurina sp. 31", "Dactylurina sp. 32", 
"Plebeina armata 1", "Plebeina armata 2", "Plebeina armata 3", 
"Plebeina armata 4", "Plebeina armata 5", "Plebeina armata 6", 
"Hypo/liotrigona spp. 1", "Hypo/liotrigona spp. 2", "Hypo/liotrigona spp. 3", 
"Hypo/liotrigona spp. 4", "Hypo/liotrigona spp. 5", "Hypo/liotrigona spp. 6", 
"Hypo/liotrigona spp. 7", "Hypo/liotrigona spp. 8", "Hypo/liotrigona spp. 9", 
"Hypo/liotrigona spp. 10", "Hypo/liotrigona spp. 11", "Hypo/liotrigona spp. 12", 
"Hypo/liotrigona spp. 13", "Hypo/liotrigona spp. 14", "Hypo/liotrigona spp. 15", 
"Hypo/liotrigona spp. 16", "Hypo/liotrigona spp. 17", "Hypo/liotrigona spp. 18", 
"Hypo/liotrigona spp. 19", "Hypo/liotrigona spp. 20", "Hypo/liotrigona spp. 21", 
"Hypo/liotrigona spp. 22", "Hypo/liotrigona spp. 23", "Hypo/liotrigona spp. 24", 
"Hypo/liotrigona spp. 25", "Hypo/liotrigona spp. 26", "Hypo/liotrigona spp. 27", 
"Hypo/liotrigona spp. 28", "Hypo/liotrigona spp. 29", "Hypo/liotrigona spp. 30", 
"Hypo/liotrigona spp. 31", "Hypo/liotrigona spp. 32", "Hypo/liotrigona spp. 33", 
"Hypo/liotrigona spp. 34", "Hypo/liotrigona spp. 35", "Hypo/liotrigona spp. 36", 
"Hypo/liotrigona spp. 37", "Hypo/liotrigona spp. 38", "Hypo/liotrigona spp. 39", 
"Hypo/liotrigona spp. 40", "Hypo/liotrigona spp. 41", "Hypo/liotrigona spp. 42", 
"Hypo/liotrigona spp. 43", "Hypo/liotrigona spp. 44", "Hypo/liotrigona spp. 45", 
"Hypo/liotrigona spp. 46", "Hypo/liotrigona spp. 47", "Hypo/liotrigona spp. 48", 
"Hypo/liotrigona spp. 49", "Hypo/liotrigona spp. 50", "Hypo/liotrigona spp. 51", 
"Hypo/liotrigona spp. 52", "Hypo/liotrigona spp. 53", "Hypo/liotrigona spp. 54", 
"Hypo/liotrigona spp. 55", "Hypo/liotrigona spp. 56", "Hypo/liotrigona spp. 57", 
"Hypo/liotrigona spp. 58", "Hypo/liotrigona spp. 59", "Hypo/liotrigona spp. 60", 
"Hypo/liotrigona spp. 61", "Meliponula togoensis 1", "Meliponula togoensis 2", 
"Meliponula togoensis 3", "Meliponula togoensis 4", "Meliponula togoensis 5", 
"Meliponula togoensis 6", "Meliponula togoensis 7", "Meliponula togoensis 8", 
"Meliponula togoensis 9", "Meliponula togoensis 10", "Meliponula togoensis 11", 
"Meliponula togoensis 12", "Meliponula togoensis 13", "Meliponula togoensis 14", 
"Meliponula togoensis 15", "Meliponula togoensis 16", "Meliponula togoensis 17", 
"Meliponula togoensis 18", "Meliponula togoensis 19", "Meliponula togoensis 20", 
"Meliponula togoensis 21", "Meliponula togoensis 22", "Meliponula togoensis 23", 
"Meliponula togoensis 24", "Meliponula togoensis 25", "Meliponula togoensis 26", 
"Meliponula togoensis 27", "Meliponula togoensis 28", "Meliponula togoensis 29", 
"Meliponula togoensis 30", "Meliponula togoensis 31", "Meliponula togoensis 32", 
"Meliponula togoensis 33", "Meliponula togoensis 34", "Meliponula togoensis 35", 
"Meliponula togoensis 36", "Meliponula togoensis 37", "Meliponula togoensis 38", 
"Meliponula togoensis 39", "Meliponula togoensis 40", "Meliponula togoensis 41", 
"Meliponula togoensis 42", "Meliponula togoensis 43", "Meliponula togoensis 44", 
"Meliponula togoensis 45", "Meliponula togoensis 46", "Meliponula togoensis 47", 
"Meliponula togoensis 48", "Meliponula togoensis 49", "Meliponula togoensis 50", 
"Meliponula togoensis 51", "Meliponula bocandei 1", "Meliponula bocandei 2", 
"Meliponula bocandei 3", "Meliponula bocandei 4", "Meliponula bocandei 5", 
"Meliponula bocandei 6", "Meliponula bocandei 7", "Meliponula bocandei 8", 
"Meliponula bocandei 9", "Meliponula bocandei 10", "Meliponula bocandei 11", 
"Meliponula bocandei 12", "Meliponula bocandei 13", "Meliponula bocandei 14", 
"Meliponula bocandei 15", "Meliponula bocandei 16", "Meliponula bocandei 17", 
"Meliponula bocandei 18", "Meliponula bocandei 19", "Meliponula bocandei 20", 
"Meliponula bocandei 21", "Meliponula bocandei 22", "Meliponula bocandei 23", 
"Meliponula bocandei 24", "Meliponula bocandei 25", "Meliponula bocandei 26", 
"Meliponula bocandei 27", "Meliponula bocandei 28", "Meliponula bocandei 29", 
"Meliponula bocandei 30", "Meliponula bocandei 31", "Meliponula bocandei 32", 
"Meliponula bocandei 33", "Meliponula bocandei 34", "Meliponula bocandei 35", 
"Meliponula bocandei 36", "Meliponula bocandei 37", "Meliponula bocandei 38", 
"Meliponula bocandei 39", "Meliponula bocandei 40", "Meliponula bocandei 41"
), Species = c("Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", 
"Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", 
"Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", 
"Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", 
"Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", 
"Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", "Dactylurina", 
"Dactylurina", "Dactylurina", "Dactylurina", "Plebeina", "Plebeina", 
"Plebeina", "Plebeina", "Plebeina", "Plebeina", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", "HypoLiotrigona", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_togoensis", "Meliponula_togoensis", "Meliponula_togoensis", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei", "Meliponula_bocandei", 
"Meliponula_bocandei", "Meliponula_bocandei"), Nourriture = c(1L, 
1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 
1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 
0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Sucrant = c(0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 
0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Médicament = c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 
1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 
1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 
1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Valeurs.spirituelles = c(0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Rituels = c(0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Usuel = c(0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
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0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), class = "data.frame", row.names = c(NA, 
-191L))

jrkrideau · August 3, 2024, 2:46pm

Thanks, the data came through nicely but I don't think there is much to be done until you have the rest of the data in R format. About all one can say at the moment is something like this (I am assuming 0 = Non & 11= Oui ).

How do you have the data stored at the moment? We may be able to help you get it into an R-friendly format.

By the way, what does Usuel mean?

manovdbo · August 3, 2024, 3:00pm

Is it not possible to highlight relationships between certain species for certain uses?

For the moment, the rest of my data is in a large Excel spreadsheet, but I can put it in a csv file if necessary.

I'd like to highlight a correlation between level of knowledge and age, for example. How can I do this ç using a statistical test in R?

jrkrideau · August 3, 2024, 4:03pm

Is it not possible to highlight relationships between certain species for certain uses?

I should think so. We just need an idea of what you want.

For the moment, the rest of my data is in a large Excel spreadsheet, but I can put it in a csv file if necessary.

Depending on how the spreadsheet is laid out , you should be able to read in the data using something like the {readxl} package. Try:

install.packages("readxl")
library(readxl)
dat1 <- read_excel("Insert_your_file_name")

If it is not tidy in R terms, see Tidy data it will need to be cleaned up. If it is not "tidy", you could post the spreadsheet to a file-sharing service such as dropbox or mediafire and someone could take a look at it and perhaps make some suggestions about it.

I'd like to highlight a correlation between level of knowledge and age, for example. How can I do this using a statistical test in R?

I cannot say for sure without seeing the data but a simple correlation if both variables are numeric would be

cor(knowledge, age)

Type

?cor
`` ` 
to see the  *help*.

therainbowgirly · September 5, 2024, 2:22am

I found an interesting page with explanation. However I have no experience with his.

jrkrideau · September 19, 2024, 1:32am

I am sorry, I have been away and for some reason the forum did not flag your messages to me.

All of those references are interesting but the first, the things we need to know was why were you collecting that data? What issues were you exploring?

I think that we need a concise description of what you were doing, something like an abstract for a publication. That should help us get an idea of what stats, if any you need.