library("tidyverse")
Loading tidyverse: ggplot2
Loading tidyverse: tibble
Loading tidyverse: tidyr
Loading tidyverse: readr
Loading tidyverse: purrr
Loading tidyverse: dplyr
Conflicts with tidy packages -----------------------------------------------------------------------------------------------------------------
filter(): dplyr, stats
lag(): dplyr, stats

pairwise.t.test(video$Puntaje, video$Profesor, p.adj = "none")
Pairwise comparisons using t tests with pooled SD
data: video$Puntaje and video$Profesor
Aguilera..Felipe Araya..Guillermo Arias..Gerardo Donoso..Manuel Loyola..Gerald
Araya..Guillermo 0.86851 - - - -
Arias..Gerardo 3.5e-05 2.0e-05 - - -
Donoso..Manuel 0.40812 0.32103 0.00043 - -
Loyola..Gerald 0.02024 0.02899 3.1e-08 0.00263 -
Uribe..Sergio 0.86851 0.74058 5.9e-05 0.50801 0.01391
P value adjustment method: none
nombres.docentes = c("Araya..Guillermo", "Donoso..Manuel", "Aguilera..Felipe", "Uribe..Sergio")
docentes <- video %>%
filter((Profesor %in% nombres.docentes))
pairwise.t.test(docentes$Puntaje, docentes$Profesor, p.adj = "none")
Pairwise comparisons using t tests with pooled SD
data: docentes$Puntaje and docentes$Profesor
Aguilera..Felipe Araya..Guillermo Donoso..Manuel
Araya..Guillermo 0.87 - -
Donoso..Manuel 0.40 0.31 -
Uribe..Sergio 0.87 0.74 0.50
P value adjustment method: none


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