davidatlarge / rec_r Goto Github PK
View Code? Open in Web Editor NEWCalculate boundary fluxes and production Rate Estimation from Concentration profiles in sediments
Calculate boundary fluxes and production Rate Estimation from Concentration profiles in sediments
add error handling were useful. E.g. in:
reading args from table
check if there are any objects created as output by helper functions that are not used anywhere.
does z (depth) have to be positive? if so, should rec() allow input of negative z or should a warning be printed if z is negative?
At the moment providing the input of test_case_2
, pre-processing and calling the function calculate_con_rates_lin_sys_tichonov_mean_rate_2()
does produce a result, but it is obviously wrong.
I found that the REC_R package cannot be installed no matter using commend or install via the .zip file.
Is there any method to install the package?
install.packages("https://github.com/markolipka/REC_R")
Warning in install.packages :
package ‘https://github.com/markolipka/REC_R’ is not available for this version of R.
calculate_diff_operator_matrix_aequi_dist_grid_variable_coeff()
could be tested with output of original Matlab-code available for certain edge-cases.
Output of test_case-scenario would be helpful to at least check if the function works in the simplest case as desired by the original author.
This function seems to be a very strange workaround to read variables from a parent environment into calculate_diff_operator_matrix_aequi_dist_grid_variable_coeff()
.
This should be rather done by passing the needed values as arguments to the function.
make_column_vector()
and make_row_vector()
may be unnecessary, as with the test_case_2_data the result is the same without converting vectors to one-dimensional matrices
Would be helpful to have the original output of all intermediate steps for a simple test case (e.g. test_case_2) so that each REC_R function can be tested for at least this test case.
Originally posted by @markolipka in #4 (comment)
replace the use of pracma::
and matlab::
with base R functions
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