search for: tave

...3 3852 site_B 147 3852.03 3852 site_B 147 3852.03 3852 site_B 147 3852.03 54962 site_C 27 54962.01 54962 site_C 27 54962.01 54962 Site_D 217 54962.02 54962 Site_D 217 54962.02 54962 Site_D 217 54962.02 54962 Site_D 217 54962.02 Currently I found the way to increase the depth but not like I need, tave = my_data$Depth + (ave(my_data$Depth, my_data$index, FUN=seq_along))/100 Depth s_name index test 3852 Site_1 144 3852.01 3852 Site_1 144 3852.02 3852 Site_1 144 3852.03 3852 site_A 145 3852.01 3852 site_A 145 3852.02 3852 site_A 145 3852.03 3852 site_A 145 3852.04 3852 site_B 147 3852.01 3852 site...

Hi System: Linux Open SuSE 10.2 I upgraded to R 2.6.0 and wanted to upgrade my packages as well. I tried to use the checkBuild=TRUE option in update.packages, it asked me if I wanted to update the package and I answered with yes, and finally ig tave me the error message unknown parameter "checkBuild" in function install.packages. My question: is the option still necessary or is the checkBuild done automatically? IF yes, I just update.packages without the option and don't woryy. Rainer

Hi,Has anybody worked with thornthwaite method to calculate the daily evapotranspiration ? I have used the following code to calculate monthly evaporation but what I need is daily evapotranspiration. Epot <- thornthwaite(Tave, lat, na.rm = FALSE) # Evaluates evapotranspiration for each month. Do you have any code which works for daily timestep ? Its more technical question, may be some hydrologist has gone across it already. Thanks in advance !Anup KhanalNTNU ..................Anup KhanalNorwegian Institute of scienc...

Hello there, I’m computing the total value of an order from the price of the order items using a “for” loop and the “ifelse” function. I do this on a large dataframe (close to 1m lines). The computation of this function is painfully slow: in 1min only about 90 rows are calculated. The computation time taken for a given number of rows increases with the size of the dataset, see the example with