From f5ed0f18ec26a4acd861411aa2d571a166a2803d Mon Sep 17 00:00:00 2001 From: fherreazcue Date: Mon, 6 Nov 2023 16:28:38 +0000 Subject: [PATCH] Read through plotting, replaced plots with new data, added challenge --- episodes/03-loading_data.md | 2 +- episodes/04-plotting.md | 83 +- episodes/06-func.md | 4 +- episodes/fig/Subject_5.png | Bin 15935 -> 0 bytes episodes/fig/average-inflammation.png | Bin 26887 -> 0 bytes ...inflammation_and_patient_5_with_legend.png | Bin 15523 -> 0 bytes .../fig/average_inflammation_with_legend.png | Bin 12930 -> 0 bytes episodes/fig/heatmap.png | Bin 49690 -> 0 bytes episodes/fig/inflammation-heatmap.png | Bin 28994 -> 0 bytes ...png => loading-data_inflammation-data.png} | Bin episodes/fig/matlab-overlapping-ranges.png | Bin 8374 -> 0 bytes episodes/fig/max-inflammation.png | Bin 28381 -> 0 bytes episodes/fig/max-min-subplot.png | Bin 33172 -> 0 bytes episodes/fig/max-min-tiledplot-titles.png | Bin 18369 -> 0 bytes episodes/fig/max-min-tiledplot.png | Bin 17042 -> 0 bytes episodes/fig/min-inflammation.png | Bin 26998 -> 0 bytes .../fig/plotting_average-inflammation.svg | 189 ++ ...inflammation_and_patient_5_with_legend.svg | 211 ++ ...tting_average_inflammation_with_legend.svg | 202 ++ episodes/fig/plotting_heatmap.svg | 1742 +++++++++++++++++ episodes/fig/plotting_imagesc-heatmap.svg | 1241 ++++++++++++ episodes/fig/plotting_max-inflammation.svg | 209 ++ .../fig/plotting_max-min-tiledplot-titles.svg | 272 +++ episodes/fig/plotting_max-min-tiledplot.svg | 271 +++ episodes/fig/plotting_min-inflammation.svg | 184 ++ episodes/fig/plotting_patients-3-4.svg | 225 +++ 26 files changed, 4813 insertions(+), 22 deletions(-) delete mode 100644 episodes/fig/Subject_5.png delete mode 100644 episodes/fig/average-inflammation.png delete mode 100644 episodes/fig/average_inflammation_and_patient_5_with_legend.png delete mode 100644 episodes/fig/average_inflammation_with_legend.png delete mode 100644 episodes/fig/heatmap.png delete mode 100644 episodes/fig/inflammation-heatmap.png rename episodes/fig/{index_inflammation-data.png => loading-data_inflammation-data.png} (100%) delete mode 100644 episodes/fig/matlab-overlapping-ranges.png delete mode 100644 episodes/fig/max-inflammation.png delete mode 100644 episodes/fig/max-min-subplot.png delete mode 100644 episodes/fig/max-min-tiledplot-titles.png delete mode 100644 episodes/fig/max-min-tiledplot.png delete mode 100644 episodes/fig/min-inflammation.png create mode 100644 episodes/fig/plotting_average-inflammation.svg create mode 100644 episodes/fig/plotting_average_inflammation_and_patient_5_with_legend.svg create mode 100644 episodes/fig/plotting_average_inflammation_with_legend.svg create mode 100644 episodes/fig/plotting_heatmap.svg create mode 100644 episodes/fig/plotting_imagesc-heatmap.svg create mode 100644 episodes/fig/plotting_max-inflammation.svg create mode 100644 episodes/fig/plotting_max-min-tiledplot-titles.svg create mode 100644 episodes/fig/plotting_max-min-tiledplot.svg create mode 100644 episodes/fig/plotting_min-inflammation.svg create mode 100644 episodes/fig/plotting_patients-3-4.svg diff --git a/episodes/03-loading_data.md b/episodes/03-loading_data.md index 80dc250a..5b907480 100644 --- a/episodes/03-loading_data.md +++ b/episodes/03-loading_data.md @@ -64,7 +64,7 @@ data results src We are now set to load our data. As a reminder, our data is structured like this: -![](fig/index_inflammation-data.png){alt='Information saved in each data file.'} +![](fig/loading-data_inflammation-data.png){alt='Information saved in each data file.'} But it is stored without the headers, as comma-separated values. The first few rows of our first file, `data/base/inflammation-01.csv`, look like this: diff --git a/episodes/04-plotting.md b/episodes/04-plotting.md index 98a9a77c..0919d588 100644 --- a/episodes/04-plotting.md +++ b/episodes/04-plotting.md @@ -65,12 +65,11 @@ so that other people can understand what it shows >> ylabel('Inflammation') ``` -![](fig/average-inflammation.png){alt='Average inflammation'} +![](fig/plotting_average-inflammation.svg){alt='Average inflammation'} Much better, now the image actually communicates something. +As expected, this image tells us way more than the numbers we had seen in the previous section. -The result is roughly a linear rise and fall, which is suspicious: -based on other studies, we expect a sharper rise and slower fall. Let's have a look at two other statistics: the maximum and minimum inflammation per day across all patients. ```matlab @@ -80,7 +79,7 @@ inflammation per day across all patients. >> xlabel('Day of trial') ``` -![](fig/max-inflammation.png){alt='Maximum inflammation'} +![](fig/plotting_max-inflammation.svg){alt='Maximum inflammation'} ```matlab >> plot(per_day_min) @@ -89,12 +88,9 @@ inflammation per day across all patients. >> xlabel('Day of trial') ``` -![](fig/min-inflammation.png){alt='Minumum inflammation'} +![](fig/plotting_min-inflammation.svg){alt='Minumum inflammation'} -From the figures, we see that the maximum value rises and falls perfectly -smoothly, while the minimum seems to be a step function. Neither result -seems particularly likely, so either there's a mistake in our -calculations or something is wrong with our data. +These two are much more noisy than the mean, as can be expected. ## Multiple lines in a plot @@ -114,7 +110,7 @@ So, to plot the mean values we first do: >> ylabel('Inflammation') ``` -![](fig/average_inflammation_with_legend.png){alt='Average inflamation with legend'} +![](fig/plotting_average_inflammation_with_legend.svg){alt='Average inflamation with legend'} Then, we can use the instruction `hold on` to add a plot for patient_5. ```matlab @@ -123,13 +119,57 @@ Then, we can use the instruction `hold on` to add a plot for patient_5. >> hold off ``` -![](fig/average_inflammation_and_patient_5_with_legend.png){alt='Average inflamation and Patient 5'} +![](fig/plotting_average_inflammation_and_patient_5_with_legend.svg){alt='Average inflamation and Patient 5'} + +So this patient seems fairly average. Remember to tell matlab you are done by adding `hold off` when you are done! +::::::::::::::::::::::::::::::::::::::: challenge + +## Patients 3 & 4 + +Try to plot the mean and the data for patients 3 and 4 together. + +::::::::::::::: solution + +The first part for the mean remains unchanged: + +```matlab +>> plot(per_day_mean,DisplayName="Mean") +>> legend +>> title('Daily average inflammation') +>> xlabel('Day of trial') +>> ylabel('Inflammation') +``` + +Now we need to get the patient specific data. +We can get the data for patients 3 and 4 as we did in the previous episode i.e. `patient_data(3,:)`. +Now we either save that data in a variables, or we use it directly in the plot instruction, like this: + +```matlab +>> hold on +>> plot(patient_data(3,:),DisplayName="Patient 3") +>> plot(patient_data(4,:),DisplayName="Patient 4") +>> hold off +``` + +The result looks like this: + +![](fig/plotting_patients-3-4.svg){alt='Average inflamation and Patients 3 & 4'} + +Patient 4 seems also quite average, but patient's 3 measurements are quite noisy! + +::::::::::::::::::::::::: + +:::::::::::::::::::::::::::::::::::::::::::::::::: ## Multiple plots in a figure +**Note:** The [`subplot`](https://mathworks.com/help/matlab/ref/subplot.html) +command was deprecated in favour of `tiledlayout` in 2019. + + It is often convenient to show different plots side by side. The [`tiledlayout(m,n)`](https://mathworks.com/help/matlab/ref/tiledlayout.html) command allows us to do just that. The first two parameter define a grid of `m` rows and `n` columns in which our plots will be placed. @@ -148,7 +188,7 @@ For example, we can show the average daily min and max plots together with: >> xlabel('Day of trial') >> ylabel('Inflamation') ``` -![](fig/max-min-tiledplot.png){alt='Max Min tiledplot'} +![](fig/plotting_max-min-tiledplot.svg){alt='Max Min tiledplot'} We can also specify titles and labels for the whole tiled layout if we assign the tiled layout to a variable and pass it as a first argument to `title`, `xlabel` or `ylabel`, for example: @@ -165,12 +205,16 @@ and pass it as a first argument to `title`, `xlabel` or `ylabel`, for example: >> title('Min') ``` -![](fig/max-min-tiledplot-titles.png){alt='Max Min tiledplot with shared labels'} +![](fig/plotting_max-min-tiledplot-titles.svg){alt='Max Min tiledplot with shared labels'} ::::::::::::::::::::::::::::::::::::::::: callout -**Note:** The [`subplot`](https://mathworks.com/help/matlab/ref/subplot.html) -command was deprecated in favour of `tiledlayout` in 2019. +## Clearing a figure + +If you now try to plot something like the mean, as we had done before, +you will notice that the plot is assigned to the second plot space in the tiled layout. + +To clear the tiled layout, you can use the instruction `clf`, which stands for "clear figure". :::::::::::::::::::::::::::::::::::::::::::::::::: @@ -191,10 +235,11 @@ takes a table as input and produces a heatmap: >> ylabel('Patient number') ``` -![](fig/heatmap.png){alt='Heat map'} +![](fig/plotting_heatmap.svg){alt='Heat map'} -We gain something by visualizing the whole dataset at once, -but it is harder to distinwish the overly linear rises and fall over a 40 day period. +We gain something by visualizing the whole dataset at once; +for example, we can see that some patients (3, 15, 25, 31, 36 and 60) have very noisy data. +However, it is harder to distinwish the details of the inflammatory response. Similarly, the [`imagesc` function](https://uk.mathworks.com/help/matlab/ref/imagesc.html) represents the matrix as a color image. @@ -205,7 +250,7 @@ represents the matrix as a color image. >> ylabel('Patient number') ``` -![](fig/inflammation-heatmap.png){alt='imagesc Heat map'} +![](fig/plotting_imagesc-heatmap.svg){alt='imagesc Heat map'} Every value in the matrix is *mapped* to a color. Blue regions in this heat map are low values, while yellow shows high values. diff --git a/episodes/06-func.md b/episodes/06-func.md index 3cff8c81..37766cc5 100644 --- a/episodes/06-func.md +++ b/episodes/06-func.md @@ -388,7 +388,7 @@ end Create a function called `patient_vs_mean` that generates a plot like this one: -![](fig/Subject_5.png){alt='Plotting patient vs mean'} +![](fig/plotting_average_inflammation_and_patient_5_with_legend.svg){alt='Plotting patient vs mean'} The function should have the following inputs: @@ -416,7 +416,7 @@ function patient_vs_mean(per_day_mean,pataient_data,patient_reference) % Sample usage: % patient_data = readmatrix('data/inflammation-01.csv'); % per_day_mean = mean(patient_data); - % patient_vs_mean(per_day_mean,patient_data(5,:),"Subject 5") + % patient_vs_mean(per_day_mean,patient_data(5,:),"Patient 5") figure(visible='off') diff --git a/episodes/fig/Subject_5.png b/episodes/fig/Subject_5.png deleted file mode 100644 index 890297112f80356a976769248d310807ff6408fb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 15935 zcmZ{L1yq$?*X=`hr!g`I-|yc0-~T&fI2@ewoafnR@4eQVYtFeJ>1wNy5Hb)V2tuNMU0Dx7Fr^R#BO4zR z-g!2uZ2|ugcwRU4K@ido^goOgUQ$MQ6VF#&O9k&2HUp8Q`1nVoi|`hQuZoGUzK4Tv zfQ|QUL`%^?QxV0-X5e(2P0PmD$=Ji&#fOhg-Q7+=#$=ivuD^)BUdj8mjqe=~cQ%7N zZnqI(aehTlZ+>ARVG*{g!ct=5QevVWBVH5;!iK0TD;fko- zIi5Lv1>E;Jjzg$3czlY=Pv2Q)N!!z;qV!aTgZ1nk+;0pC}AFP7=OztHMkCe+EF zzQ5VD#Ukk$F3@BD*73z%PCh=@o#jCh$FIKr{_pI`sJOH>wX}AB|GrsdKoS=5(4}RNi zcBv(@TuJ%T9!=&kQM2-+JDFM9-_@J!Auh?qh#L3liN~+0tABp)KR@X|A1KX)r!NoY zOZ%@Mj63FxR|Sjf>FRFRwVWo9KTS{nT-I?9i!Zt!^TuUP&Zy{U`M_aOE
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