From d1db35791c0eef0e28af40a374a21f59d6f7db78 Mon Sep 17 00:00:00 2001 From: kdkorthauer Date: Tue, 6 Feb 2024 16:21:44 -0800 Subject: [PATCH] update lect08 --- lect08-continuous/lect08-continuous.html | 16 ++++++++-------- lect08-continuous/lect08-continuous.qmd | 12 ++++++------ .../figure-revealjs/unnamed-chunk-2-1.png | Bin 230130 -> 230127 bytes 3 files changed, 14 insertions(+), 14 deletions(-) diff --git a/lect08-continuous/lect08-continuous.html b/lect08-continuous/lect08-continuous.html index b68bd33..82c6a2d 100644 --- a/lect08-continuous/lect08-continuous.html +++ b/lect08-continuous/lect08-continuous.html @@ -751,7 +751,7 @@

OLS for Multiple Linear Regression (p covariates)

-

\[\small \frac{\partial S}{\partial\alpha_0}=\begin{bmatrix} +

\[\small \frac{\partial S}{\partial\boldsymbol\alpha}=\begin{bmatrix} \frac{\partial S}{\partial\alpha_0} \\ \frac{\partial S}{\partial\alpha_1} \\ \vdots\\ @@ -1504,17 +1504,17 @@

OLS of first 2000 genes, using lm gene by gene

-
system.time(lmfits <- allGenes %>%
+
(t.limma <- system.time(lmfits <- allGenes %>%
     filter(gene %in% unique(allGenes$gene)[1:2000]) %>%
     group_by(gene) %>% 
     group_modify(~ tidy(lm(expression ~ age + genotype, 
                            data = .x))) %>%
     select(gene, term, estimate) %>%
     pivot_wider(names_from = term, 
-                values_from = estimate)) 
+ values_from = estimate)))
   user  system elapsed 
-  4.532   0.032   4.708 
+ 6.369 0.062 6.447
lmfits %>% head() 
@@ -1536,11 +1536,11 @@

OLS of first 2000 genes, using lm gene by gene

OLS of all genes at once, using limma:

-
system.time( limmafits <- 
-  lmFit(eset, model.matrix(~ age + genotype, data = pData(eset))))
+
(t.ols <- system.time( limmafits <- 
+  lmFit(eset, model.matrix(~ age + genotype, data = pData(eset)))))
   user  system elapsed 
-  0.121   0.034   0.155 
+ 0.152 0.039 0.190
limmafits$coefficients %>% head()
@@ -1564,7 +1564,7 @@

OLS of all genes at once, using limma:

Tip

-

Avoiding repetitive calculations involving \(\mathbf{X}\) leads to ~30X faster computation in this example

+

Avoiding repetitive calculations involving \(\mathbf{X}\) leads to ~930X faster computation in this example

diff --git a/lect08-continuous/lect08-continuous.qmd b/lect08-continuous/lect08-continuous.qmd index 9aeffb6..e819100 100644 --- a/lect08-continuous/lect08-continuous.qmd +++ b/lect08-continuous/lect08-continuous.qmd @@ -419,7 +419,7 @@ $$=(\mathbf{y}-\mathbf{X}\boldsymbol\alpha)^T(\mathbf{y}-\mathbf{X}\boldsymbol\a ::: columns ::: column -$$\small \frac{\partial S}{\partial\alpha_0}=\begin{bmatrix} +$$\small \frac{\partial S}{\partial\boldsymbol\alpha}=\begin{bmatrix} \frac{\partial S}{\partial\alpha_0} \\ \frac{\partial S}{\partial\alpha_1} \\ \vdots\\ @@ -1006,14 +1006,14 @@ allGenes %>% head(10) ::: column ```{r} -system.time(lmfits <- allGenes %>% +(t.limma <- system.time(lmfits <- allGenes %>% filter(gene %in% unique(allGenes$gene)[1:2000]) %>% group_by(gene) %>% group_modify(~ tidy(lm(expression ~ age + genotype, data = .x))) %>% select(gene, term, estimate) %>% pivot_wider(names_from = term, - values_from = estimate)) + values_from = estimate))) lmfits %>% head() ``` ::: @@ -1023,8 +1023,8 @@ lmfits %>% head() ## OLS of **all** genes at once, using `limma`: ```{r} -system.time( limmafits <- - lmFit(eset, model.matrix(~ age + genotype, data = pData(eset)))) +(t.ols <- system.time( limmafits <- + lmFit(eset, model.matrix(~ age + genotype, data = pData(eset))))) limmafits$coefficients %>% head() ``` @@ -1034,7 +1034,7 @@ So far, no shrinkage. :::{.callout-tip} -Avoiding repetitive calculations involving $\mathbf{X}$ leads to ~30X faster computation in this example +Avoiding repetitive calculations involving $\mathbf{X}$ leads to ~`r signif(7.4/0.18*45101/2000,2)`X faster computation in this example ::: diff --git a/lect08-continuous/lect08-continuous_files/figure-revealjs/unnamed-chunk-2-1.png b/lect08-continuous/lect08-continuous_files/figure-revealjs/unnamed-chunk-2-1.png index 90e7bc639f698b2d45fce862b14f3e62aba66259..67bf7e829a6b546ec730197a4a02045483ee7320 100644 GIT binary patch literal 230127 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