Description Usage Arguments Details Value Examples

Assess the relations between two decomposed variables

1 2 |

`x` |
List of decomposed objects |

`fun` |
Function to sumarize dependence (like |

`wet_int_only` |
(logical) Should only the wet intervals be considered? |

`wet_int_thr` |
Numeric value specifying the minimum depth to be consider wet |

`exclude_below` |
Some of the intervals might not be of required length, e.g. D10 interval may have less than 10 days available. The |

`vcompare`

compares the relation between all pairs of variables included in `x`

, typically precipitation and temperature, but other variables may be included also (e.g. runoff).

data.table summarizing the relation with columns:

- variable
factor indicating the variable

- period
specification of the averaging length with 'D' - day(s), 'M' - month(s), 'Y' - year(s) and 'G1' - the overall mean

- TS
averaging length in hours

- sub_period
indication of the aggregating scale specified by

`agg_by`

argument- comp
factor indicating the data sets from

`x`

with labels given by`names(x)`

- DIF
distance between data sets from

`x`

and`compare_to`

. Distance is measured as difference for variables included in`getOption('additive_variables')`

, i.e. temperature (`TAS`

) by default, and as a ratio for other variables, see`dif`

1 2 3 4 5 6 7 8 9 10 11 12 | ```
library(ggplot2)
data(basin_PT)
## Not run:
dobs = decomp(basin_PT[['obs_ctrl']])
dctrl = decomp(basin_PT[['sim_ctrl']])
d = vcompare(x = list(OBS = dobs, CTRL = dctrl), fun = cov)
ggplot(d[period!='G1']) +
geom_line(aes(x = TS, y = value, col = factor(sub_period))) +
facet_grid(VARS~ID) +
scale_x_log10()
## End(Not run)
``` |

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