knitr::opts_chunk$set(echo = TRUE)
library(ggplot2)
library(tibble)

slamecka_design <- tibble(number_of_learning_trials = rep(c(2,4,8), each=6),
                          number_of_IL = rep(rep(c(2,4,8), 2), 3),
                          subjects = 1:18,
                          recall = c(35,21,6,
                                   39,31,8,
                                   40,34,18,
                                   52,42,26,
                                   61,58,46,
                                   73,66,52
                                   )
                          )

ggplot(slamecka_design,aes(x=number_of_IL,
                           group = number_of_learning_trials,
                           y=recall))+
  geom_line(stat = "summary", fun = "mean")+
  geom_point(stat = "summary", fun = "mean",)+
  theme_classic()
#added labels to axis 

slamecka_design <- tibble(number_of_learning_trials = rep(c(2,4,8), each=6),
                          number_of_IL = rep(rep(c(2,4,8), 2), 3),
                          subjects = 1:18,
                          recall = c(35,21,6,
                                   39,31,8,
                                   40,34,18,
                                   52,42,26,
                                   61,58,46,
                                   73,66,52
                                   )
                          )

ggplot(slamecka_design,aes(x=number_of_IL,
                           group = number_of_learning_trials,
                           y=recall))+
  geom_line(stat = "summary", fun = "mean")+
  geom_point(stat = "summary", fun = "mean",)+
  xlab("Number of interpolated lists")+
  ylab("Number of words correct")+
  theme_classic()

  #scale_y_continuous(breaks = c(20, 40, 60, 80), limits=c(0, 80))+

  # scale_x_continuous(breaks= (2, 4, 8)), limits=
  #annotate()






# can not figure out how to remove the 6/fix the scale length - tried multiple functions in ggplot with 
#"Number of interpolated lists",labels = c("2", "4", "8"))+"
#add 3rd IV 

slamecka_design <- tibble(number_of_learning_trials = rep(c(2,4,8), each=6),
                          number_of_IL = rep(rep(c(2,4,8), 2), 3),
                          subjects = 1:18,
                          recall = c(35,21,6,
                                   39,31,8,
                                   40,34,18,
                                   52,42,26,
                                   61,58,46,
                                   73,66,52
                                   )
                          )

ggplot(slamecka_design,aes(x=number_of_IL,
                           group = number_of_learning_trials,
                           y=recall))+
  geom_line(stat = "summary", fun = "mean")+
  geom_point(stat = "summary", fun = "mean",)+
  xlab("Number of interpolated lists")+
  ylab("Number of words correct")+
  theme_classic()


celiaflorea/statslab2022 documentation built on Aug. 31, 2022, 5:29 p.m.