aleksandarsekulic / rmeteo Goto Github PK

Hi,

when I try to predict the value at a single location, the following error occurs: Error in cbind(knn1$nn.dists, near_o1) :
number of rows of matrices must match (see arg 2).

As soon as there are at least two locations for which the value is to be predicted, everything works.

Hello

Very interested in trying this package for RFSI but I am not able to install it in R 4.0.4. I tried bot GitHub and RForge options and gives me an error for the CAST pkg not been available for this version of R when trying GitHub, and a general package ‘meteo’ is not available for this version of R when trying RForge

Are there plans on updating it?! Also, are sf objects going to be possible as input?

Thanks

Hello,
Was trying to execute a code example from the documentation for function near.obs, but the command

nearest_obs <- near.obs(locations = temp,
observations = temp,
zcol = "tempc",
n.obs = 5,
rm.dupl = TRUE)

returned an error message:

Error in if (class(knn1$nn.idx) != "integer") { :
the condition has length > 1

sessionInfo()
R version 4.2.1 (2022-06-23)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04 LTS

Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=uk_UA.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=uk_UA.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=uk_UA.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=uk_UA.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] spacetime_1.2-8 sp_1.4-6 meteo_1.0-1

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Hello,
Was trying to execute an RFSI example, but have got an error message for rfsi command:

[1] "Preparing data ..."
Error in rfsi(formula = fm.RFSI, data = meuse, zero.tol = 0, n.obs = 5, :
no slot of name "sp" for this object of class "SpatialPointsDataFrame"

sessionInfo()
R version 4.2.1 (2022-06-23)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04 LTS

Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=uk_UA.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=uk_UA.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=uk_UA.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=uk_UA.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] spacetime_1.2-8 sp_1.4-6 meteo_1.0-1

if(class(knn1$nn.idx[1])!='integer') { near_o1 <- apply(knn1$nn.idx, 2, function(x) {variable[x]}) near_o1 <- cbind(near_o1) nl_df <- cbind(knn1$nn.dists, near_o1) } else { near_o1 <- variable[knn1$nn.idx] near_o1 <- matrix(near_o1, nrow = attributes(knn1$nn.idx)$dim[1], ncol = attributes(knn1$nn.idx)$dim[2]) # nl_df <- t(c(knn1$nn.dists, near_o1)) nl_df <- cbind(knn1$nn.dists, near_o1) } }

I‘ve spent lots of time to debug and solve this problems. But still get another problems bellow:

[1] "combination 1: " min.node.size num.trees mtry n.obs sample.fraction idw.p 10 10 250 12 6 0.95 3 [1] "Fold 1" Joining by: staid, date Joining by: staid, lon, lat, date [1] "Fold 2" Joining by: staid, date Joining by: staid, lon, lat, date [1] "Fold 3" Joining by: staid, date Joining by: staid, lon, lat, date [1] "Fold 4" Error in { : task 216 failed - "non-numeric matrix extent"
@AleksandarSekulic
It is a good work but there are too much problems. When can i get a stable version to learn ur idea?
Waiting for a stable version urgently!!!