Last updated on 2026-04-24 06:53:12 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.1 | 15.23 | 182.69 | 197.92 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.1 | 11.94 | 126.46 | 138.40 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.1.1 | 31.00 | 296.37 | 327.37 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.1 | 28.00 | 279.40 | 307.40 | OK | |
| r-devel-macos-arm64 | 0.1.1 | 4.00 | 70.00 | 74.00 | OK | |
| r-devel-windows-x86_64 | 0.1.1 | 19.00 | 167.00 | 186.00 | OK | |
| r-patched-linux-x86_64 | 0.1.1 | 16.44 | 166.84 | 183.28 | OK | |
| r-release-linux-x86_64 | 0.1.1 | 14.74 | 163.95 | 178.69 | OK | |
| r-release-macos-arm64 | 0.1.1 | OK | ||||
| r-release-macos-x86_64 | 0.1.1 | 9.00 | 190.00 | 199.00 | OK | |
| r-release-windows-x86_64 | 0.1.1 | 22.00 | 156.00 | 178.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.1.1 | OK | ||||
| r-oldrel-macos-x86_64 | 0.1.1 | 9.00 | 189.00 | 198.00 | OK | |
| r-oldrel-windows-x86_64 | 0.1.1 | 26.00 | 222.00 | 248.00 | OK |
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in 'qPRAentry-Ex.R' failed
The error most likely occurred in:
> ### Name: ntrade
> ### Title: Ntrade calculation
> ### Aliases: ntrade
>
> ### ** Examples
>
> ## Example with simulated trade data for Northern America
> library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
> data("datatrade_NorthAm")
> # Total extra-import data: data contains imports from 5 third countries (column partner).
> extra_total <- datatrade_NorthAm$extra_import
> # Extra-import data from countries where the pest is present (e.g., CNTR_1 and CNTR_2)
> CNTR_pest <- c("CNTR_1", "CNTR_2")
> extra_pest <- datatrade_NorthAm$extra_import %>% filter(partner%in%CNTR_pest)
> # Intra-trade data
> intra_trade <- datatrade_NorthAm$intra_trade
> # Internal production data
> internal_production <- datatrade_NorthAm$internal_production
> # Generate trade data (TradeData object)
> trade_NorthAm <- trade_data(extra_total = extra_total,
+ extra_pest = extra_pest,
+ intra_trade = intra_trade,
+ internal_production = internal_production)
> # Calculation of the Ntrade for each time period
> ntrade_NorthAm <- ntrade(trade_data = trade_NorthAm)
> head(ntrade_NorthAm)
country_IDs Ntrade_April-June Ntrade_January-March Ntrade_July-September
1 BM 670.412 8201.174 738.9461
2 CA 9503.115 1681.524 6186.5063
3 GL 9138.512 4034.844 14170.3812
4 PM 2076.277 12302.026 2618.0643
5 US 2306.934 5932.152 6174.8121
Ntrade_October-December
1 3626.791
2 1386.109
3 6428.532
4 4263.005
5 10519.433
> # Ntrade summary for the time periods
> ntrade_NorthAm_summary <- ntrade(trade_data = trade_NorthAm,
+ summarise_result = c("mean", "sd",
+ "quantile(0.025)",
+ "median",
+ "quantile(0.975)"))
> head(ntrade_NorthAm_summary)
country_IDs mean sd median q0.025 q0.975
1 BM 3309.331 3540.324 2182.868 675.5521 7858.096
2 CA 4689.314 3888.968 3934.015 1408.2654 9254.369
3 GL 8443.067 4350.347 7783.522 4214.3705 13792.991
4 PM 5314.843 4750.018 3440.535 2116.9110 11699.099
5 US 6233.333 3360.625 6053.482 2578.8252 10193.586
> # Plot the median of Ntrade
> library(ggplot2)
> plot_countries(data = ntrade_NorthAm_summary,
+ iso_col = "country_IDs",
+ values_col = "median") +
+ xlim(-180,-20) + ylim(0,90)
>
> ## Example with simulated trade data for Europe
> # Load data
> data("datatrade_EU")
> # Total extra-import data: the total import is identified as partner "Extra_Total"
> extra_total <- datatrade_EU$extra_import %>% filter(partner=="Extra_Total")
> # Extra-import data from countries where the pest is present
> extra_pest <- datatrade_EU$extra_import %>% filter(partner!="Extra_Total")
> # Intra-trade data
> intra_trade <- datatrade_EU$intra_trade
> # Internal production data
> internal_production <- datatrade_EU$internal_production
> # Generate trade data (TradeData object)
> trade_EU <- trade_data(extra_total = extra_total,
+ extra_pest = extra_pest,
+ intra_trade = intra_trade,
+ internal_production = internal_production)
Note: For countries where Intra Export is greater than total available (Extra Total + Internal Production), Intra Export is considered proportional to the total available.
> # Ntrade mean and sd for the time periods
> ntrade_EU <- ntrade(trade_data = trade_EU,
+ summarise_result = c("mean", "sd"))
> # Plot Ntrade mean
> plot_countries(data = ntrade_EU,
+ iso_col="country_IDs",
+ values_col="mean") +
+ xlim(-40,50) + ylim(25,70)
Flavor: r-release-windows-x86_64