Gemstracker and HandWristStudyGroup data
R-course: RYouReady
General introduction to R and GitHub
R-course: RYouReady
Applying R to HandWristStudyGroup data
VizWhiz 4: designing your plots
The final visualization step that we cover in the course is the layout. Titles, colors, axes, font, and gridline. R can make it very easy for you.
Assignment: graph layout
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try out some of the themes on the last plot created, including classic and minimal
#try out some of the themes on the last plot created, including classic and minimal
data_combined %>%
na.omit() %>%
ggplot(aes(x= vasPijnGemiddeld_1, y = vasFunctie_1 color = geslacht)) +
theme_classic()+
geom_point() +
geom_smooth()
data_combined %>%
na.omit() %>%
ggplot(aes(x= vasPijnGemiddeld_1, y = vasFunctie_1 color = geslacht)) +
theme_minimal()+
geom_point() +
geom_smooth()
Now add titles and modify the names on the x-xis and y-axis
(We skip the second video of VizWhiz 4 from R Ladies)
Assignment: graph layout 2
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Make a scatter plot again in which you can show to what extent VAS pain correlates with the VAS function
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Use geom_point for this
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Fit a line with geom_smooth and color the men and women.
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Use theme_classic for the layout. Give the plot the title "relationship between pain and hand functon"
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Assign the x-axis the title "VAS pain (0-10)" and the y-axis the title "VAS function (0-10)
#Create scatter plot for assignment: graph layout 2
data_combined %>%
na.omit() %>%
ggplot(aes(x= vasPainGemiddeld_1, y = vasFunctie_1, color = geslacht)) +
geom_point() +
geom_smooth() +
theme_classic() +
labs(title = "relationship between pain and hand functon",
x = "VAS pain (0-10)",
y= "VAS function (0-10)")
In conclusion
This concludes this part of the course. You should now have a basic understanding of how R is used and organized. Of course, like any language, further mastering R needs a lot of practice.
We now suggest that you will start to work with GitHub. That is the next part of this course. The last part is then a set of examples and tutorials that you can play with to further master your R skills