See if you can figure out how to make the OTU label in the final figure bolded while keeping the taxon names italicized. Let us know if you figure it out!
thank u for this again Pat. Just learnt a bit more now about html items. i was doing some text mining and had to use the below approach but had an issue with getting qunatifiers work with glue str_glue(" (?
Good eye 😊 a moment later I removed the mutate so I only needed one mutate separating the variable assignments with a comma. It was the end of the day. I was tired 😂
Thank you for uploading a wonderful tutorial. I have a query that how we can plot two variables data on single map. Like : ggplot() + geom_sf(data=shape, color='grey20', size=0.1, fill=NA) + geom_sf(data = subset(clus_dzc1, type=='high'),aes(fill=CL2),size=0.1,color='black') + scale_fill_discrete_sequential(palette='Burg',name="High-risk",rev=FALSE, guide = guide_legend(ncol=2)) + theme_void() ggplot() + geom_sf(data=shape, color='grey20', size=0.1, fill=NA) + geom_sf(data = subset(clus_dzc1, type=='low'),aes(fill=CL2), size=0.1, color='black') + scale_fill_discrete_sequential(palette='Blues',name="Low-risk",rev=FALSE, guide = guide_legend(ncol=2)) + theme_void() . There are two plots code. Can you please guide me, how i can convert into one gg plot. Can you please write the code for me. I shall be very thankful to you.
You can't map two variables to the same aesthetic. That typically means that you're trying to do too much with your visualization. Do you have an example of what such a plot would look like that you can link to?
See if you can figure out how to make the OTU label in the final figure bolded while keeping the taxon names italicized. Let us know if you figure it out!
Thanks!
My pleasure! Thanks for watching Brendan
thank u for this again Pat. Just learnt a bit more now about html items.
i was doing some text mining and had to use the below approach but had an issue with getting qunatifiers work with glue
str_glue(" (?
Thanks for watching! I suspect it's because the curly braces - {} - are special with glue. I suspect you could use "\{2,3\}" to avoid this problem
@@Riffomonas still same issue; i am experimenting with other things to try get it working
@@ahmed007Jaber I just looked at ?glue. Check out the very last example where you can use alternatives to {} to insert variables. one
@@Riffomonas thank you, it works like magic, and same concept can be used with str_glue()
this is amazing! keep up the good work Pat!
How do you replace a string across different column names?
The bug you introduces is the comma instead of an additional pipe ( wrote comment at 15:50) :D
Good eye 😊 a moment later I removed the mutate so I only needed one mutate separating the variable assignments with a comma. It was the end of the day. I was tired 😂
Really thank you for your help and remarkable lectures.
if you have a video of meta analysis for continuous data, kindly request to share us
Hi there - sorry I don't have anything at this point. I'll keep my eyes out looking for something
remarkable
Thanks!
I obsess over having italics and non italics right, so, let's see how to do this in R!
Fantastic! Thanks for tuning in Gabriel 😊
Thank you for uploading a wonderful tutorial.
I have a query that how we can plot two variables data on single map.
Like :
ggplot() +
geom_sf(data=shape, color='grey20', size=0.1, fill=NA) +
geom_sf(data = subset(clus_dzc1, type=='high'),aes(fill=CL2),size=0.1,color='black') +
scale_fill_discrete_sequential(palette='Burg',name="High-risk",rev=FALSE,
guide = guide_legend(ncol=2)) +
theme_void()
ggplot() +
geom_sf(data=shape, color='grey20', size=0.1, fill=NA) +
geom_sf(data = subset(clus_dzc1, type=='low'),aes(fill=CL2), size=0.1, color='black') +
scale_fill_discrete_sequential(palette='Blues',name="Low-risk",rev=FALSE,
guide = guide_legend(ncol=2)) +
theme_void()
. There are two plots code. Can you please guide me, how i can convert into one gg plot. Can you please write the code for me.
I shall be very thankful to you.
You can't map two variables to the same aesthetic. That typically means that you're trying to do too much with your visualization. Do you have an example of what such a plot would look like that you can link to?
@Riffomonas Project yeah i have an example. Could you please share here email address. I send you all of material via email. If you dont mind