adjust plots
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@@ -13,7 +13,7 @@ library(dplyr)
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a_grid <- seq(-20, 20, length.out = 200)
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# function which takes only a to compute Q_c
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make_matrix <- function(a) { compute_matrix(seed=4L,
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make_matrix <- function(a) { compute_matrix(seed=11513215L,
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a= a,
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n = 2,
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K = 2,
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@@ -46,17 +46,18 @@ ggplot(df_entries, aes(x = a, y = value, colour = entry, linetype = entry)) +
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theme_minimal()
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# Heat map for a single larger matrix ------------------------------------------
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# TODO Daten für 2x2 und 3x3 an Michael schicken
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# Choose a value of a
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a0 <- -10
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M0 <- compute_matrix(seed=1L,
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a0 <- 2
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M0 <- compute_matrix(seed=9L,
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a= a0,
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n = 50,
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K = 50,
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n = 2,
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K = 2,
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sample_X_fn = function(n) {matrix(rnorm(n), ncol = 1L)},
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fv = function(x) {dnorm(x, mean=0, sd=1)},
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Fv = function(x) {pnorm(x, mean=0, sd=1)},
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guard = 1e-12)
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M0
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# Convert to a tidy data frame for ggplot
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df_heat <- as.data.frame(M0) %>%
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