Interesting, I'm back to R and study how write code, this video is useful for start to make charts with weather information, thanks for your video was very helpful.
Thank you for the video. What will we do if we want to sort bar in order. For example, we want to put Fermicute at the bottom and the mean will increase in the order : Healthy, Diarrhea C difficile positive, and Diarrhea C difficile negative ?
Thanks a lot! Is there a way (not manually) to reorder the stacked bar plots in a specific/ascending order of the most abundant taxa (Firmicutes)? Leaving Healthy on the left, changing the position of Diarrhea pos. to middel and Diarrhea neg. to the right?
Thanks for watching! Just to be clear - I hate stacked bar charts 😂 You could make the disease status a factor and order the factor by whatever you want
Thank you so much for your lectures. They really help me understand the basics of R. I have a questions concerning barcharts in ggplot2. Is there a way to place the bars and tick labels between the tick marks rather than on them? This is possible in excel. It will be nice to replicate that in R
Hopefully you found my other videos, but my preference woudl be to put the taxa on the x-axis and cluster the treatment groups within each taxa. Then represent the individual samples with a jitter plot
I forget what I did here but you should be able to group by the sample and then look at the count divided by the sum of the counts for each group to get the relative abundance. Multiply by 100 to get the percentage
Without using a different chart type, what else would you do to improve the appearance of these stacked bar charts?
You can facet by taxa with scales=free_y.
@@erickcardenas6055 then sort facets so highest mean y is first.
Love stacked bar charts! What alternative do you prefer?
Interesting, I'm back to R and study how write code, this video is useful for start to make charts with weather information, thanks for your video was very helpful.
My pleasure. Thanks for watching!
Thanks for sharing these.very helpful!!
amazing videos! glad I found your stuff! greetings from germany :)
My pleasure - thanks for watching!
Well, the.beauty of you presentations is that you not only learn R.... Actually, what I learn is English😃😃😃
Ha! That’s wonderful to hear. Thanks for watching 🤓
Nice vid!
You’re awesome!
Thank you for the video. What will we do if we want to sort bar in order. For example, we want to put Fermicute at the bottom and the mean will increase in the order : Healthy, Diarrhea C difficile positive, and Diarrhea C difficile negative ?
Keep watching the later episodes in that series where I cover that. Still, I strongly encourage using side by side bars/boxes over stacked bars
@@Riffomonas Thank you ! what post you discuss on this issue? I used stacked bar chart and side by side when I need two
@@minhtrungdang1853 th-cam.com/video/w4X3o6MQjVA/w-d-xo.html
great video. Thanks
You are welcome!
Thanks a lot! Is there a way (not manually) to reorder the stacked bar plots in a specific/ascending order of the most abundant taxa (Firmicutes)? Leaving Healthy on the left, changing the position of Diarrhea pos. to middel and Diarrhea neg. to the right?
Thanks for watching! Just to be clear - I hate stacked bar charts 😂 You could make the disease status a factor and order the factor by whatever you want
Thank you so much for your lectures. They really help me understand the basics of R.
I have a questions concerning barcharts in ggplot2. Is there a way to place the bars and tick labels between the tick marks rather than on them? This is possible in excel. It will be nice to replicate that in R
I know it’s possible. Probably would involve using the theme function on the major and minor axis ticks
@@Riffomonas Thank you so much. I'll try that again and see what I get.
Would it be better to separate the phyla into their own graphs and look at them separately? Like different facets or grids? One for each Phyla?
Hopefully you found my other videos, but my preference woudl be to put the taxa on the x-axis and cluster the treatment groups within each taxa. Then represent the individual samples with a jitter plot
nice vid
Thanks dude
how we calculate percentage of each sample.. can you tell me..?
I forget what I did here but you should be able to group by the sample and then look at the count divided by the sum of the counts for each group to get the relative abundance. Multiply by 100 to get the percentage
@@Riffomonas Thank you so much
THE MANNNNNNN thanks a lot
Great videos! You can simplify the pooling of taxa with forcats::fct_lump functions into one step, which I find really handy.