Revision 94e49513
Added by Benoit Parmentier almost 11 years ago
| climate/research/oregon/interpolation/multi_timescales_paper_interpolation_functions.R | ||
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#Functions used in the production of figures and data for the multi timescale paper are recorded. |
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#AUTHOR: Benoit Parmentier # |
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#DATE CREATED: 11/25/2013 |
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#DATE MODIFIED: 12/04/2013
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#DATE MODIFIED: 12/09/2013
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#Version: 1 |
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#PROJECT: Environmental Layers project # |
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################################################################################################# |
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#### FUNCTION USED IN SCRIPT |
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function_analyses_paper <-"multi_timescales_paper_interpolation_functions_11022013.R"
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function_analyses_paper <-"multi_timescales_paper_interpolation_functions_12092013.R"
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plot_transect_m2<-function(list_trans,r_stack,title_plot,disp=FALSE,m_layers){
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#This function creates plot of transects for stack of raster images. |
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return(dat_var_stat) |
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} |
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plot_accuracy_by_holdout_fun <-function(list_tb,ac_metric){
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# |
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list_plots <- vector("list",length=length(list_tb))
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for (i in 1:length(list_tb)){
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#i <- i+1 |
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tb <-list_tb[[i]] |
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plot_name <- names(list_tb)[i] |
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pat_str <- "tb_m" |
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if(substr(plot_name,start=1,stop=4)== pat_str){
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names_id <- c("pred_mod","prop")
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plot_formula <- paste(ac_metric,"~prop",sep="",collapse="") |
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}else{
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names_id <- c("pred_mod","prop_month")
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plot_formula <- paste(ac_metric,"~prop_month",collapse="") |
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} |
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names_mod <-unique(tb$pred_mod) |
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prop_obj <- calc_stat_prop_tb_diagnostic(names_mod,names_id,tb) |
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avg_tb <- prop_obj$avg_tb |
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layout_m<-c(1,1) #one row two columns |
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par(mfrow=layout_m) |
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#add option for plot title? |
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png(paste("Figure__accuracy_",ac_metric,"_prop_month_",plot_name,"_",out_prefix,".png", sep=""),
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height=480*layout_m[1],width=480*layout_m[2]) |
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p <- xyplot(as.formula(plot_formula),group=pred_mod,type="b", |
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data=avg_tb, |
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main=paste(ac_metric,plot_name,sep=" "), |
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pch=1:length(avg_tb$pred_mod), |
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par.settings=list(superpose.symbol = list( |
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pch=1:length(avg_tb$pred_mod))), |
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auto.key=list(columns=5)) |
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print(p) |
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dev.off() |
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list_plots[[i]] <- p |
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} |
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names(list_plots) <- names |
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return(list_plots) |
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#end of function |
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} |
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################### END OF SCRIPT ################### |
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Also available in: Unified diff
multi timescale function script, update