The code supplied is not proper for several reasons including not being on
multiple lines properly and use of variables not defined.
"percentage" is a field in data.frame "email" not in "graph_text" and of course
you need to load libraries properly to use the functions.
I rewrote and fixed a fe
On 21/08/2021 6:55 p.m., Anas Jamshed wrote:
I have this data:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162562&fbclid=IwAR0iZQhttG8HzGhFIIMWbFgNszQrVDgiyVChYzQ_ypCx_d-1pn_tm7STjGs
and I want to compare:
healthy vs Mild healthy vs Highly exposed seronegative (ishgl) Healthy vs
Asympt
I have this data:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162562&fbclid=IwAR0iZQhttG8HzGhFIIMWbFgNszQrVDgiyVChYzQ_ypCx_d-1pn_tm7STjGs
and I want to compare:
healthy vs Mild healthy vs Highly exposed seronegative (ishgl) Healthy vs
Asymptomatic covid19 patient healthy vs Highly expose
Thank you, I have tried to do a better job here -
Data -
email <- structure(list(percentage = c(57.14, 29.76, 69.32, 28.41, 57.89,
34.21, 58.59, 33.33, 48.42, 42.11, 59.77,
29.89, 72.13, 18.03, 53.33, 33.33, 55.1,
See ?dput for how to provide a reproducible example (a reprex). Or see here:
https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
It will improve your chance of getting a helpful and quick response.
Cheers,
Bert Gunter
"The trouble with having an open mind is th
Hello, on using the following code for the following data, the graph I get has
an x axis where years are mentioned as 2012.5, 2017.5 etc.
I have the following questions -
Q1 How can I make the years on x axis as 2011, 2012, 2013, 2014 and so on..
Q2 Is there any way to create a small gap betw
Bert,
> Turns out that there's an even faster alternative.
hah, but i'm *not* surprised. thanks for sharing the (current)
low-price leader!
and, thanks, again, to Kimmo for posting such a productive question!
cheers, Greg
my apply
user system elapsed
8.465 0.103 8.578
Bert's
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