From 409ab8d19caaeac22001fe97550a2f13e210d41a Mon Sep 17 00:00:00 2001 From: Emma Rand Date: Fri, 6 Oct 2023 13:35:28 +0100 Subject: [PATCH] omics 1 workshop fix file name --- omics/week-3/workshop.qmd | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/omics/week-3/workshop.qmd b/omics/week-3/workshop.qmd index a3489af..706b515 100644 --- a/omics/week-3/workshop.qmd +++ b/omics/week-3/workshop.qmd @@ -168,7 +168,7 @@ s30 |> ``` This data is very skewed - there are so many low values that we can't -see the the tiny bars for the higher values. Logging the counts is a way +see the tiny bars for the higher values. Logging the counts is a way to make the distribution more visible. 🎬 Repeat the plot on log of the counts. @@ -328,11 +328,11 @@ s30_summary_samp <- s30 |> We can write to file using `write_csv()` -🎬 Write `s30_summary_samp_by` to a file called -"s30_summary_samp_by.csv": +🎬 Write `s30_summary_samp` to a file called +"s30_summary_samp.csv": ```{r} -write_csv(s30_summary_samp_by, file = "data-processed/s30_summary_samp_by.csv") +write_csv(s30_summary_samp, file = "data-processed/s30_summary_samp.csv") ``` Plotting the distribution of values is perhaps the easiest way to