[EXT] How to calculate the derivatives at each data point?

Try something like

with(df, predict(smooth.spline(x = altitude, y = atm_values), deriv = 1))

Cheers,

Andrew

--
Andrew Robinson
Chief Executive Officer, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
University of Melbourne, VIC 3010 Australia
Tel: (+61) 0403 138 955
Email: apro at unimelb.edu.au
Website: https://researchers.ms.unimelb.edu.au/~apro at unimelb/

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Hi everyone,

I have a vector with atmospheric measurements (x-axis) that is
obtained/calculated at different altitudes (y-axis). The altitude is
uniformly distributed every 7 meters.
For example my dataframe is:
df <- dataframe(
*altitude* = c(1005, 1012, 1019, 1026, 1033, 1040, 1047, 1054, 1061, 1068),
*atm_values* = c(1.41, 1.40, 1.39, 1.38, 1.37, 1.37, 1.38, 1.36, 1.33, 1.31)
)

How can I find the derivatives of the atmospheric measurements at each
altitude?

I look forward to hearing from you!

Thanks,
Kostas


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