<-
liste readLines('MAF.bib') |>
as_tibble() |>
filter(stringr::str_detect(value, pattern = '@|keywords')) |>
rowid_to_column() %>%
mutate(int_part = floor((rowid-1)/2), parity = rowid %% 2) %>%
select(-rowid) %>%
pivot_wider( values_from = value, names_from = parity, names_prefix = "key") |>
mutate(key1 = stringr::str_remove(key1, pattern = '@[:alnum:]+\\{')) |>
mutate(key1 = stringr::str_remove(key1, pattern = ','))
<- liste %>%
maf_liste filter(str_detect(key0, 'MAF')) %>%
select(key1) %>%
pull()
<- liste %>%
linear_liste filter(!str_detect(key0, 'MAF')) %>%
select(key1) %>%
pull()
NoCite(bib = myBib, linear_liste)
References
Pour mieux comprendre l’algèbre linéaire utilisé
Brunton, S. (2020). Singular Value Decomposition. URL: https://www.youtube.com/watch?v=gXbThCXjZFM.
Cohen, M. X. (2022). Practical linear algebra for data science. O’Reilly Media, Inc.
Harville, D. A. (1998). Matrix algebra from a statistician’s perspective.
Yoshida, R. (2021). Linear algebra and its applications with R. Chapman and Hall/CRC. URL: https://shainarace.github.io/LinearAlgebra/.