/color_your_figure

I don't want to google "how to set up parameter for a customized figure" every time.. So I create this one

Primary LanguageR

Example code to generate colorful figures

Please contact (hyangl@umich.edu) if you have any questions or suggestions.

Required dependencies

install.packages('ggplot2')

Examples

0. signal gif

output

input data (3500*4; 250 length * 14 channels = 3400)

x variable value channel
1 0.2 channel_01 0 1
2 0.4 channel_01 0 1
... ... ... ... ...
250 50.0 channel_01 0.0000000 1
251 0.2 channel_02 0.9239719 51
252 0.4 channel_02 1.0000000 51
... ... ... ... ...
3499 49.8 channel_14 0.9167349 651
3500 50.0 channel_14 1.0000000 651

code

signal_gif.r

1. scatter plot

output

input data

x y name
1 0.3076133 0.68012495 object 02
2 0.4414949 0.67035409 object 02
3 0.5517576 0.64554303 object 03
.. ... ... ...
29 0.4855843 0.68349135 object 12
30 0.2726435 0.34297157 object 12

code

scatter_plot.r

2. heatmap block

output

input data

gene id value
1 gene0 id0 0.3663519
2 gene0 id1 0.8200528
3 gene0 id2 0.2844916
... ... ...
99 gene9 id8 1.0256540
100 gene9 id9 0.4010756

code

heatmap_block.r

3. roc curve

output

input data

y x model
1 0.0046 0.002 model1
2 0.0375 0.020 model1
3 0.0458 0.030 model1
... ... ... ...
99 0.9862 0.994 model1
100 1.0000 0.999 model1
101 0.0054 0.009 model2
102 0.0064 0.046 model2
103 0.0197 0.047 model2
... ... ... ...

code

roc_curve.r

prototype python code to calculate curves

4. violin plot

output

input data

value model
1 0.73 Linear
2 0.76 Linear
3 0.79 Linear
... ... ...
99 0.74 Linear
100 0.79 Linear
101 0.81 Ridge
102 0.82 Ridge
103 0.75 Ridge
... ... ...

code

violin_plot.r

5. density histogram plot

output

input data

value model
1 0.66 Leopard
2 0.81 Leopard
3 0.63 Leopard
... ... ...
99 0.88 Leopard
100 0.67 Leopard
101 0.72 Anchor
102 0.59 Anchor
... ... ...

code

density_histogram_plot.r

Reference