multivariate probit

RStudio IDE
1

Hello community,

For analyzing my data, a multivariate probit model is suggested in the literature. I have six dependent variables and up to seven independent variables. I have coded the data in Excel and imported it into R for analysis. Initially, I didn't get any results, but I managed to get something eventually. Unfortunately, I'm getting the following error message at the end, and the data is not understandable: 0 rows I don't quite understand, as I followed the approach similar to the one in the article "What hampers innovation? Revealed barriers versus deterring barriers" by D'Este et al. (2012).
probit <- mvProbit(
cbind(ACP, P, C, FC, BLF, B, Tu, R) ~ Age + Genre + Formelle_BTS + Formelle_primaire +
Formelle_secondaire + Formelle_wolofal + Formelle_aucun + Informel + AS + Exp +
NbF + BenefP + Sup + RendCP + PFC + NbPest + UP + NbR + PMAg + Animaux + MOM +
NbAf + NbE + PMT + AP + Dep + CMM + NbA + IIM + Suff + ProcF + NbFRend +
Village_Darou + Village_Keur + Village_Tawa + RE,
data = data
)

Even ChatGPT couldn't help me further.

2

Start by inspecting your data
nrow(data) would show the number of rows in a data.frame called data
if you get 0 you somehow have an empty frame.
if you get NULL or something else, you probably havent got so far as to have an appropriate data object. and need to go back a step and think about how you are providing data , i.e. what R code would bring it into existence.

3

Merci beaucoup pour votre message je vais vérifier et vous revenir

4

bonjour jai fai nrow(data) jai comme resultat :

nrow(data)
```[1] 107
mais ,'empeche l'erreur persiste toujours
5

Jai vraiment besoin de votre aide

6

Please give us a sample of your data.

A handy way to supply some sample data is 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
```

```

Thanks

7

structure(list(ACP = structure(c(1L, 2L, 1L, 2L, 1L, 1L, 1L,
1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L,
2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L,
1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L,
2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,
1L, 2L, 1L, 1L), levels = c("0", "1"), class = "factor"), P = structure(c(1L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L,
2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L,
2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L,
2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L), levels = c("0", "1"), class = "factor"),
C = structure(c(1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L,
1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L,
2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 1L, 1L), levels = c("0", "1"), class = "factor"),
FC = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L), levels = c("0", "1"), class = "factor"),
BLF = structure(c(2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L,
2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L,
1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L,
1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L), levels = c("0", "1"), class = "factor"),
B = structure(c(1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L,
2L, 2L, 1L, 2L, 2L, 2L), levels = c("0", "1"), class = "factor"),
Tu = structure(c(1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L), levels = c("0", "1"), class = "factor"),
R = structure(c(1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L,
2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 2L, 2L, 2L), levels = c("0", "1"), class = "factor"),
Age = c(25, 35, 27, 26, 53, 28, 25, 27, 50, 30, 55, 58, 30,
78, 53, 77, 38, 61, 30, 40, 45, 26, 23, 56, 48, 25, 22, 60,
35, 25, 45, 40, 32, 22, 40, 28, 38, 20, 35, 25, 40, 38, 44,
40, 25, 20, 37, 32, 10, 30, 30, 29, 23, 52, 46, 37, 25, 38,
40, 43, 35, 30, 29, 35, 20, 33, 23, 29, 28, 45, 70, 30, 19,
20, 40, 50, 35, 20, 42, 51, 32, 28, 38, 32, 20, 34, 28, 35,
50, 25, 35, 67, 45, 48, 35, 40, 50, 60, 44, 33, 50, 70, 30,
44, 45, 51, 50), Genre = structure(c(1L, 1L, 1L, 2L, 1L,
1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L,
1L, 2L, 2L, 1L, 2L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), levels = c("0",
"1"), class = "factor"), Formelle_BTS = structure(c(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, 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, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L
), levels = c("0", "1"), class = "factor"), Formelle_primaire = structure(c(2L,
2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), levels = c("0", "1"), class = "factor"), Formelle_secondaire = structure(c(1L,
1L, 1L, 2L, 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, 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, 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,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), levels = c("0", "1"), class = "factor"), Formelle_wolofal = structure(c(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, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L), levels = c("0", "1"), class = "factor"), Formelle_aucun = structure(c(1L,
1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L,
1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
1L), levels = c("0", "1"), class = "factor"), Informel = structure(c(1L,
2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L,
1L), levels = c("0", "1"), class = "factor"), AS = structure(c(1L,
1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L,
1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), levels = c("0", "1"), class = "factor"), Exp = c(2,
10, 3, 2, 25, 1, 1, 6, 10, 6, 24, 6, 6, 6, 6, 27, 6, 6, 10,
3, 6, 3, 6, 6, 30, 2, 4, 10, 2, 3, 3, 2, 3, 6, 4, 6, 5, 5,
5, 5, 3, 3, 3, 3, 6, 3, 5, 2, 3, 5, 3, 5, 5, 3, 4, 1, 4,
3, 6, 6, 2, 6, 6, 3, 1, 3, 1, 6, 3, 30, 1, 4, 1, 1, 3, 1,
3, 6, 1, 4, 3, 3, 4, 6, 6, 5, 6, 20, 12, 4, 26, 26, 21, 20,
19, 17, 20, 20, 10, 12, 19, 19, 15, 22, 18, 24, 23), NbF = c(0,
5, 7, 0, 9, 0, 0, 0, 0, 2, 6, 6, 9, 9, 7, 7, 10, 8, 3, 8,
5, 0, 7, 5, 6, 0, 7, 10, 0, 4, 9, 0, 9, 0, 0, 8, 0, 6, 8,
6, 10, 2, 8, 9, 0, 11, 8, 8, 7, 10, 9, 7, 10, 5, 8, 1, 7,
7, 9, 6, 0, 7, 9, 9, 0, 6, 0, 5, 10, 6, 9, 7, 0, 0, 9, 0,
9, 9, 0, 6, 9, 5, 7, 6, 9, 2, 8, 10, 7, 10, 9, 7, 9, 10,
7, 8, 9, 8, 8, 9, 5, 9, 8, 6, 8, 8, 7), BenefP = structure(c(1L,
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 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, 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, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), levels = c("0", "1"), class = "factor"), Sup = c(80,
480, 370, 120, 190, 160, 470, 90, 190, 250, 230, 230, 0,
300, 510, 180, 230, 320, 250, 290, 330, 300, 190, 390, 420,
140, 460, 270, 399, 224, 260, 182, 269, 301, 0, 483, 0, 161,
0, 154, 273, 0, 273, 0, 238, 294, 0, 175, 231, 0, 385, 234,
280, 406, 314, 210, 238, 140, 224, 161, 0, 213, 357, 329,
224, 294, 210, 224, 182, 98, 182, 245, 126, 21, 273, 119,
210, 371, 0, 91, 210, 252, 210, 126, 231, 231, 40, 250, 100,
90, 50, 190, 260, 220, 60, 160, 90, 90, 490, 180, 710, 120,
210, 390, 280, 150, 110), RendCP = c(0.75, 0.552631578947368,
5.17241379310345, 0.375, 0.25, 0.6, 0.893617021276596, 0.827586206896552,
1, 0.571428571428571, 1.65789473684211, 0.919230769230769,
1, 0.444444444444444, 1.05, 1.26315789473684, 0.9, 0.9, 0.72,
0.5, 1.8, 1.36666666666667, 1.62, 1.63636363636364, 1.26923076923077,
1.02857142857143, 1.2, 0.525, 0.866666666666667, 0.416666666666667,
0.833333333333333, 0.9375, 0.72, 0.5625, 0.4, 2, 0.625, 1.35338345864662,
0, 0.454545454545455, 0.75, 0.72, 1, 1.5625, 0.5, 1, 0.75,
0.1, 0.6, 1, 3, 0.94, 0.857142857142857, 0.431034482758621,
0.946428571428571, 1, 1.6, 1.16666666666667, 1.875, 0.857142857142857,
0.9, 1.11111111111111, 1.2, 0.45, 1.4, 1, 3.21428571428571,
1.2, 0.378787878787879, 2.25, 2.65625, 2.14285714285714,
1.63636363636364, 1.2, 1.33333333333333, 0.6, 1.13636363636364,
0.588235294117647, 0.833333333333333, 5, 0.8, 1.2, 0.12,
2, 1, 1.18421052631579, 0.622222222222222, 2.33, 2.33333333333333,
3.88888888888889, 0.933333333333333, 4.16666666666667, 2.61904761904762,
1.94444444444444, 38.8888888888889, 2.17777777777778, 2.33,
4.44444444444444, 1.97037037037037, 6.22222222222222, 3.88888888888889,
18.6666666666667, 3.33333333333333, 9.72222222222222, 2.33,
1.86666666666667, 1.40740740740741), PFC = structure(c(1L,
2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L,
2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L,
2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L,
2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,
1L), levels = c("0", "1"), class = "factor"), NbPest = c(0,
8, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 5, 2,
3, 3, 5, 1, 0, 0, 2, 1, 2, 2, 0, 1, 1, 0, 0, 0, 1, 6, 3,
1, 0, 0, 3, 0, 2, 0, 1, 1, 0, 6, 2, 3, 1, 0, 0, 0, 0, 3,
1, 0, 0, 0, 3, 3, 4, 2, 5, 4, 0, 4, 3, 2, 1, 0, 0, 5, 0,
8, 0, 3, 1, 0, 2, 4, 6, 0, 0, 6, 0, 7, 2, 4, 0, 4, 0, 0,
0, 0, 1, 1, 0, 8, 0, 8, 0, 4, 0), UP = structure(c(1L, 2L,
2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 2L, 2L, 3L, 2L, 1L,
2L, 2L, 2L, 3L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L,
2L, 1L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L,
2L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L,
2L, 2L, 2L, 3L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 1L, 3L, 1L,
3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 2L,
3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 2L, 2L
), levels = c("0", "1", "2"), class = "factor"), NbR = c(0,
5, 3, 3, 1, 2, 1, 0, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2,
3, 2, 2, 1, 0, 0, 3, 3, 3, 3, 3, 3, 2, 1, 4, 3, 4, 3, 3,
3, 3, 3, 3, 4, 3, 3, 4, 1, 3, 3, 4, 4, 4, 1, 2, 2, 3, 2,
2, 3, 2, 3, 3, 5, 2, 3, 1, 2, 1, 4, 2, 2, 4, 2, 2, 3, 4,
5, 3, 4, 2, 4, 2, 3, 3, 3, 1, 3, 1, 3, 2, 1, 2, 4, 1, 2,
0, 2, 2, 3, 2, 1, 2, 0, 0, 2, 2), PMAg = c(1, 1, 2, 2, 1,
1, 1, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 2, 2,
1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1.5, 1, 2, 1, 1, 1, 1,
2, 1, 1, 1, 1, 1, 1.5, 2, 1, 2, 1, 1, 1, 0.5, 1.5, 0.5, 0.5,
2.5, 0.5, 2, 1.5, 1, 1, 1, 0.5, 1, 1, 1, 0.5, 1, 2, 2, 2,
1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2,
1, 1, 2, 2, 1, 1, 1, 1, 3, 1, 1, 1), Animaux = c(2, 11, 11,
19, 19, 14, 31, 13, 7, 10, 6, 36, 8, 6, 5, 7, 1, 8, 5, 9,
11, 7, 54, 9, 10, 14, 12, 12, 38, 38, 48, 16, 23, 16, 13,
21, 10, 39, 35, 40, 16, 39, 13, 45, 6, 10, 12, 7, 26, 18,
35, 38, 15, 18, 11, 10, 32, 32, 32, 6, 19, 11, 16, 17, 10,
11, 28, 12, 34, 8, 14, 11, 7, 19, 30, 35, 21, 13, 7, 6, 38,
12, 11, 56, 16, 28, 17, 19, 21, 34, 14, 34, 27, 27, 9, 5,
12, 11, 4, 26, 11, 26, 22, 15, 9, 24, 18), MOM = c(3, 5,
9, 5, 5, 12, 7, 8, 2, 11, 4, 7, 6, 11, 5, 7, 6, 8, 8, 6,
15, 6, 0, 4, 6, 4, 7, 11, 27, 17, 35, 11, 9, 10, 9, 8, 20,
22, 10, 27, 5, 13, 4, 17, 15, 6, 10, 1, 9, 14, 16, 8, 9,
3, 6, 5, 12, 13, 13, 8, 11, 8, 8, 7, 6, 2, 8, 10, 19, 9,
10, 6, 4, 6, 17, 12, 20, 8, 10, 6, 17, 10, 0, 1, 11, 11,
1, 0, 11, 17, 0, 18, 15, 15, 1, 3, 6, 13, 2, 15, 16, 15,
6, 35, 4, 4, 26), NbAf = c(0, 7, 0, 4, 2, 1, 2, 2, 8, 5,
3, 2, 5, 5, 9, 2, 6, 1, 3, 6, 3, 0, 6, 2, 5, 3, 0, 4, 0,
4, 2, 1, 1, 3, 2, 1, 2, 0, 4, 3, 1, 0, 1, 4, 1, 2, 1, 1,
3, 1, 1, 3, 5, 1, 1, 3, 1, 1, 3, 1, 1, 2, 3, 5, 1, 7, 0,
1, 1, 2, 2, 1, 1, 2, 1, 2, 3, 1, 0, 1, 2, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0,
0, 0), NbE = c(2, 5, 3, 5, 5, 2, 6, 4, 6, 5, 5, 6, 4, 6,
5, 6, 5, 6, 4, 5, 3, 5, 5, 5, 5, 4, 4, 5, 3, 4, 4, 4, 2,
5, 4, 4, 4, 3, 4, 4, 4, 6, 4, 4, 4, 4, 4, 4, 5, 2, 6, 5,
6, 4, 3, 3, 2, 3, 3, 3, 3, 4, 5, 4, 3, 4, 2, 2, 4, 3, 3,
3, 3, 4, 4, 4, 4, 4, 2, 2, 4, 4, 3, 5, 3, 5, 6, 3, 6, 5,
5, 4, 5, 6, 6, 5, 5, 6, 5, 6, 5, 1, 5, 6, 5, 5, 5), PMT = structure(c(1L,
2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L,
1L), levels = c("0", "1"), class = "factor"), AP = structure(c(3L,
2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L,
2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), levels = c("0", "1", "2"), class = "factor"), Dep = c(10500,
88600, 94700, 115000, 51000, 32900, 131000, 37000, 282500,
60200, 150250, 148600, 101300, 378500, 119000, 194800, 93250,
106950, 106000, 78250, 52500, 88200, 1191000, 63450, 164000,
83450, 146600, 142500, 77500, 21050, 17650, 60000, 43500,
54750, 47550, 49850, 231362.5, 50250.75, 65850, 78650, 62350,
250700, 57150, 163750, 31650, 83500, 44025, 75875, 28250,
55000, 28250, 88900, 71850, 154000, 96000, 28750, 46425,
16150, 79000, 65000, 51600, 77250, 77600, 111000, 47500,
24650, 22000, 25000, 61125, 67200, 44600, 39775, 40250, 38550,
56150, 17000, 42950, 57950, 42025, 50000, 24900, 48000, 70800,
39250, 80775, 50100, 79250, 160600, 77500, 76700, 134300,
143500, 210850, 144600, 56950, 162850, 61750, 170250, 193200,
68150, 207200, 96250, 66850, 747000, 155750, 57950, 135900
), CMM = structure(c(1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 2L,
1L, 3L, 3L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 4L, 2L,
2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
2L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 2L,
3L, 3L, 2L, 3L, 2L, 4L, 2L, 4L, 3L, 3L, 2L, 2L, 2L, 3L, 2L,
3L, 3L, 3L, 1L, 3L, 3L, 2L, 3L, 4L, 2L, 3L, 2L, 3L, 1L, 1L,
4L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L,
3L, 3L, 2L, 3L, 5L, 3L, 3L, 3L), levels = c("0", "1", "2",
"3", "4"), class = "factor"), NbA = structure(c(1L, 4L, 3L,
1L, 3L, 3L, 2L, 2L, 3L, 1L, 3L, 3L, 3L, 2L, 3L, 3L, 4L, 2L,
3L, 2L, 1L, 2L, 4L, 2L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 2L, 2L,
2L, 2L, 3L, 2L, 2L, 1L, 2L, 4L, 2L, 3L, 3L, 3L, 4L, 2L, 3L,
2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 3L, 2L,
2L, 2L, 2L, 4L, 3L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 2L, 2L, 2L,
2L, 2L, 3L, 2L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 3L,
3L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L, 3L, 3L), levels = c("0",
"1", "2", "3"), class = "factor"), IIM = structure(c(1L,
1L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 4L, 3L, 2L, 3L, 2L,
3L, 4L, 3L, 2L, 3L, 2L, 3L, 4L, 2L, 2L, 3L, 2L, 2L, 2L, 2L,
1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L,
1L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L,
2L, 2L, 2L, 3L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 2L, 3L,
2L, 3L, 3L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 1L, 3L,
2L), levels = c("0", "1", "2", "3"), class = "factor"), Suff = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), levels = c("0", "1"), class = "factor"), ProcF = structure(c(1L,
2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L,
2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L,
1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L,
2L), levels = c("0", "1"), class = "factor"), NbFRend = c(3,
4, 4, 3, 4, 2, 3, 1, 1, 4, 3, 3, 2, 2, 3, 4, 2, 4, 3, 4,
3, 3, 4, 4, 1, 1, 3, 3, 3, 2, 3, 4, 2, 1, 3, 4, 3, 4, 1,
4, 3, 3, 3, 6, 2, 2, 3, 2, 3, 4, 3, 3, 2, 2, 3, 3, 2, 3,
3, 3, 1, 4, 2, 4, 3, 3, 2, 3, 0, 3, 3, 5, 3, 2, 3, 3, 3,
2, 3, 4, 3, 3, 3, 1, 2, 3, 0, 2, 2, 4, 4, 1, 3, 4, 3, 3,
1, 2, 3, 4, 0, 2, 3, 5, 2, 1, 4), Village_Darou = structure(c(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, 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, 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, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), levels = c("0", "1"), class = "factor"), Village_Keur = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 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, 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, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), levels = c("0", "1"), class = "factor"), Village_Tawa = structure(c(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, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), levels = c("0", "1"), class = "factor"), RE = structure(c(2L,
2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L,
1L, 1L, 2L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L,
1L), levels = c("0", "1", "2"), class = "factor")), row.names = c(NA,
-107L), class = c("tbl_df", "tbl", "data.frame"))

8

Hi @KABE , could you please edit your previous post so that the code is preceded by

```

on the line above it, and followed by

```

on the line below it?

9

which code this is about, I didn't quite understand .

10

This code:

— it's very long, so it's hard to work with. Placing it between a pair of triple backticks (I corrected my previous post so that the triple backticks are visible now) makes it possible for others to copy the code easily.

11

Avec un clavier français AZERTY, ` est AltGr + *

1 Like