I conducted an experiment where I tested the effect of copper on irrigation dripper blockage. I had dripper types "copper" and "normal" and once a week I measured whether they are working (1) or not (0). All the drippers started working (1) and all of them were blocked (0) by the end of the experiment. I need to analyze if there was a significant effect of the type and when. I also suspect that some type of debris might block the drippers based on their proximity to the water source so I added their position to the data. A sample of the data:
> head(data)
# A tibble: 6 × 6
Date Lateral Position `Distance (m)` Type Working
<dttm> <fct> <fct> <dbl> <fct> <fct>
1 2022-08-10 00:00:00 1 1 0.7 Normal 1
2 2022-08-10 00:00:00 1 2 1.2 Normal 1
3 2022-08-10 00:00:00 1 3 1.7 Copper 1
4 2022-08-10 00:00:00 1 4 2.2 Copper 1
5 2022-08-10 00:00:00 1 5 2.7 Copper 1
6 2022-08-10 00:00:00 2 1 0.9 Normal 1
> dput(head(data))
structure(list(Date = structure(c(1660089600, 1660089600, 1660089600,
1660089600, 1660089600, 1660089600), tzone = "UTC", class = c("POSIXct",
"POSIXt")), Lateral = structure(c(1L, 1L, 1L, 1L, 1L, 2L), levels = c("1",
"2", "3", "4"), class = "factor"), Position = structure(c(1L,
2L, 3L, 4L, 5L, 1L), levels = c("1", "2", "3", "4", "5", "6"), class = "factor"),
`Distance (m)` = c(0.7, 1.2, 1.7, 2.2, 2.7, 0.9), Type = structure(c(2L,
2L, 1L, 1L, 1L, 2L), levels = c("Copper", "Normal"), class = "factor"),
Working = structure(c(2L, 2L, 2L, 2L, 2L, 2L), levels = c("0",
"1"), class = "factor")), row.names = c(NA, -6L), class = c("tbl_df",
"tbl", "data.frame"))
Any pointers as to what to read or how to solve this will be much appreciated. Thanks