How to draw this picture | 3D surface plots (3d surface plots)

b187cc1a10fd48361e5f5c20c25feccf.jpeg

3d

written in front

[How to draw this picture] The series of pictures are all from VIP群the students' questions. The tweet is only a reproduction of the picture, and does not mean that the author agrees with the form of the picture. Students are welcome to analyze interesting pictures in the group.

Pictures of this issue

4c7b7c9e39fabb3550693fd72b900b12.png

Zhou Z, Zhou X, Cheng L, et al. Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID-19. Clin Transl Med. 2021;11(9):e523. doi:10.1002/ctm2.523

ea02800ab977ec50d2352f86f453813a.png

I don't understand what this picture means.

Sample data and code collection

点赞, 在看This article, share it in the circle of friends 集赞30个and 保留30分钟send the screenshot to WeChat mzbj0002to receive it.

Canoe notes permanent VIP plan

rights and interests:

  1. All tweet sample data and codes of Muzhou Notes ( updated in real time in the VIP group ).

    7b4eeee1d96baec2a741d03a70414fc9.png
    data+code
  2. Muzhou notes scientific research exchange group .

TOLL:

169¥/person . You can add WeChat: mzbj0002transfer, or directly reward at the end of the article. Muzhou Note 2022VIP can directly pay 70¥ to upgrade.

312e148dae16d8a857bca601f9a3f15b.png

drawing

install.packages('plotly')
library(plotly)


dt <- data.frame(lymphocyte = runif(100,0,40),
                 platelet = runif(100,0,200),
                 neutrophil= runif(100,0,250),
                 hemoglobin = runif(100,0,200))
head(dt)

p1 <- plot_ly(
  dt, x= ~lymphocyte, y= ~platelet, z= ~neutrophil,
  color = ~hemoglobin,type='mesh3d', intensity = ~hemoglobin, 
  colors= colorRamp(rainbow(5))
)
p1
57977219eead53426968457d9c3834a0.png

The data is relatively random, mainly to introduce plotlythis interactive visualization package.

previous content

  1. CNS Chart Reappearance | Biological Information Analysis | R Drawing Resource Sharing & Discussion Group!

  2. How to draw this picture | A bit complicated scatter plot

  3. How to draw this picture | Correlation Analysis Lollipop Chart

  4. Group student letter | Front Immunol | A simple routine for screening early diagnostic markers based on serum proteome

  5. (Free tutorial + code collection) | Follow Cell to learn drawing series collection

  6. Q&A | How to draw beautiful illustrations in papers?

  7. Follow Cell to learn drawing | Mulberry map (ggalluvial)

  8. R actual combat | Lasso regression model establishment and variable screening

  9. Follow NC to map | Advanced interaction network diagram (protein + enrichment pathway) (Cytoscape)

  10. R actual combat | Add a circle to the clustering (ggunchull)

  11. R actual combat | NGS data time series analysis (maSigPro)

  12. Learn to draw with Cell | Venn Diagram (ggVennDiagram)


7a9f9fb42a85882fda5d893c98d131f1.png
Canoe Notes Matrix

Guess you like

Origin blog.csdn.net/weixin_45822007/article/details/128660287