bnp

Some older Bayesian nonparametrics research.
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commit 5a1308f14b3a10e2331de8031d539714ce9b2c6d
parent 6664f3f66c3ec1caafbed4389595868fa1f0f498
Author: Jared Tobin <jared@jtobin.ca>
Date:   Thu, 10 Mar 2016 10:42:53 +1300

Use log scale for plotting precision.

Diffstat:
Mfinite-gaussian-mixture/src/simulation_conditional.r | 2+-
1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/finite-gaussian-mixture/src/simulation_conditional.r b/finite-gaussian-mixture/src/simulation_conditional.r @@ -43,7 +43,7 @@ pp = ggplot(dp, aes(x = seq_along(value), y = value, colour = variable)) + pm = ggplot(dm, aes(x = seq_along(value), y = value, colour = variable)) + geom_line() -ps = ggplot(ds, aes(x = seq_along(value), y = value, colour = variable)) + +ps = ggplot(ds, aes(x = seq_along(value), y = log(value), colour = variable)) + geom_line() pl = ggplot(dl, aes(x = seq_along(value), y = value, colour = variable)) +