search for: lessines

...in a new matrix with the rows from m1 where values of m2 are present for instance [,1] [,2] [1,] "a" "1" [3,] "a" "3" [4,] "i" "4" [7,] "i" "7" Bets Regards -- Alberto Lora Michiels Rue du Progrès, 6B 7860 Lessines GSM 32(0)496659457 [[alternative HTML version deleted]]

...uot;) I need to obtain all the rows in m1 in which m2 the elements of m2 are present [,1] [,2] [1,] "a" "1" [2,] "7" "2" [3,] "a" "3" [7,] "i" "7" Thx again -- Alberto Lora Michiels Rue du Progrès, 6B 7860 Lessines GSM 32(0)496659457 [[alternative HTML version deleted]]

...,] 0 0 0 1 [6,] 0 0 0 0 Columns 1 and 3 should be removed the result should be the dollowing matrix [,2] [,4] [1,] 0 1 [2,] 1 1 [3,] 0 0 [4,] 1 0 [5,] 0 1 [6,] 0 0 Thanks again -- Alberto Lora Michiels Rue du Progrès, 6B 7860 Lessines GSM 32(0)496659457 [[alternative HTML version deleted]]

I am trying to create a NetCDF file with bathymetry (a matrix) and then to add a grid type (an integer) as variables. This is the relevant part of the code: library(ncdf) wfile="my_file.nc" msv=-10 grdtp=2 # Dimensions d1=dim.def.ncdf("lon","degrees",as.double(lon)) d2=dim.def.ncdf("lat","degrees",as.double(lat)) # Variables

Hi group, I found a module for adaptive kernel density estimation for Stata users, but unfortunetly I don't have access to Stata, can I find a similar approach using R? Thank u so much 4 ur time. [[alternative HTML version deleted]]