fisher | R Documentation |
The fisher function calculates the Fisher's Information following: Cabezas, H., Campbell, D., Eason, T., Garmestani, A. S., Heberling, M. T., Hopton, M. E., Templeton, J., White, D., Zanowick, M., & Sparks, R. T. (2010). San Luis Basin sustainability metrics project: A methodology for evaluating regional sustainability. USEPA. USA. Eason, T., & Cabezas, H. (2012). Evaluating the sustainability of a regional system using Fisher information in the San Luis Basin, Colorado. Journal of Environmental Management, 94(1), 41–49. https://doi.org/10.1016/j.jenvman.2011.08.003 Ahmad, N., Derrible, S., Eason, T., & Cabezas, H. (2016). Using Fisher information to track stability in multivariate systems. Royal Society Open Science, 3(11), 160582. https://doi.org/10.1098/rsos.160582
fisher(
df,
sos = c(),
w_size = 8,
w_incre = 1,
smooth_step = 3,
RedRum = FALSE,
write_out_csv = FALSE,
write_out_rds = FALSE,
display_plot = FALSE
)
df |
A dataframe containing time information and variables of interest |
sos |
An option vector containing size of state |
w_size |
Window size |
smooth_step |
Window size for the smoothing operation |
w_incr |
Window increment |
xtick_step |
Number of ticks on the x axis (currently unused) |
A dataframe where the last three columns are the Fisher's Information means, Fisher's Information smoothed and time-steps
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