search for: atm_values

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....

...e, 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 [[alternative HTML version deleted]]

...pheric 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 > > [[alternative H...