From 67f5c5886868a1108d62fff91f7ad7b16ef10bfa Mon Sep 17 00:00:00 2001 From: "Shawn P. Serbin" Date: Fri, 30 Apr 2021 15:41:02 -0400 Subject: [PATCH] Minor bugfix to address R2 error in the examples --- .../simple_spectra-trait_plsr_example.R | 2 +- ...a-trait_ely_leafN_plsr_bootstrap_example.R | 6 +++--- .../spectra-trait_kit_sla_plsr_example.R | 6 +++--- ...tra-trait_neon_leafN_canopy_plsr_example.R | 6 +++--- .../spectra-trait_neon_lma_plsr_example.R | 6 +++--- ...rait_reseco_leafN_plsr_bootstrap_example.R | 6 +++--- .../spectra-trait_reseco_leafN_plsr_example.R | 6 +++--- .../spectra-trait_reseco_lma_plsr_example.R | 6 +++--- .../ely_leafN_bootstrap_plsr_example.Rmd | 8 ++++---- vignettes/ely_leafN_bootstrap_plsr_example.md | 10 +++++----- .../ely_leafN_bootstrap_plsr_example.pdf | Bin 579768 -> 580027 bytes .../figure-gfm/unnamed-chunk-11-1.png | Bin 149097 -> 148869 bytes vignettes/kit_sla_plsr_example.Rmd | 10 +++++----- vignettes/kit_sla_plsr_example.md | 8 ++++---- vignettes/kit_sla_plsr_example.pdf | Bin 617021 -> 617035 bytes .../figure-gfm/unnamed-chunk-12-1.png | Bin 189612 -> 189782 bytes vignettes/neon_leafN_canopy_plsr_example.Rmd | 10 +++++----- vignettes/neon_leafN_canopy_plsr_example.md | 8 ++++---- vignettes/neon_leafN_canopy_plsr_example.pdf | Bin 405031 -> 405267 bytes .../figure-gfm/unnamed-chunk-12-1.png | Bin 186282 -> 186805 bytes vignettes/neon_lma_plsr_example.Rmd | 10 +++++----- vignettes/neon_lma_plsr_example.md | 8 ++++---- vignettes/neon_lma_plsr_example.pdf | Bin 1056767 -> 1056794 bytes .../reseco_leafN_bootstrap_plsr_example.Rmd | 8 ++++---- .../reseco_leafN_bootstrap_plsr_example.md | 10 +++++----- .../reseco_leafN_bootstrap_plsr_example.pdf | Bin 593433 -> 593234 bytes .../figure-gfm/unnamed-chunk-12-1.png | Bin 163084 -> 163402 bytes vignettes/reseco_leafN_plsr_example.Rmd | 10 +++++----- vignettes/reseco_leafN_plsr_example.md | 10 +++++----- vignettes/reseco_leafN_plsr_example.pdf | Bin 590472 -> 590314 bytes .../figure-gfm/unnamed-chunk-12-1.png | Bin 163084 -> 163402 bytes vignettes/reseco_lma_plsr_example.Rmd | 10 +++++----- vignettes/reseco_lma_plsr_example.md | 10 +++++----- vignettes/reseco_lma_plsr_example.pdf | Bin 595299 -> 595316 bytes .../figure-gfm/unnamed-chunk-13-1.png | Bin 155816 -> 155983 bytes 35 files changed, 87 insertions(+), 87 deletions(-) diff --git a/inst/scripts/simple_spectra-trait_plsr_example.R b/inst/scripts/simple_spectra-trait_plsr_example.R index cb68887..2b7005a 100644 --- a/inst/scripts/simple_spectra-trait_plsr_example.R +++ b/inst/scripts/simple_spectra-trait_plsr_example.R @@ -187,7 +187,7 @@ plsr_data.output <- data.frame(plsr_data[, which(names(plsr_data) %notin% "Spect plsr_data.output <- plsr_data.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(plsr_data.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(plsr_data.output$PLSR_CV_Residuals^2)),2) rng_quant <- quantile(plsr_data.output[,inVar], probs = c(0.001, 0.999)) diff --git a/inst/scripts/spectra-trait_ely_leafN_plsr_bootstrap_example.R b/inst/scripts/spectra-trait_ely_leafN_plsr_bootstrap_example.R index fc2966b..1f23607 100644 --- a/inst/scripts/spectra-trait_ely_leafN_plsr_bootstrap_example.R +++ b/inst/scripts/spectra-trait_ely_leafN_plsr_bootstrap_example.R @@ -209,7 +209,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -219,7 +219,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -345,7 +345,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/inst/scripts/spectra-trait_kit_sla_plsr_example.R b/inst/scripts/spectra-trait_kit_sla_plsr_example.R index 5b4ad97..f1562e0 100644 --- a/inst/scripts/spectra-trait_kit_sla_plsr_example.R +++ b/inst/scripts/spectra-trait_kit_sla_plsr_example.R @@ -235,7 +235,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -245,7 +245,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -371,7 +371,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/inst/scripts/spectra-trait_neon_leafN_canopy_plsr_example.R b/inst/scripts/spectra-trait_neon_leafN_canopy_plsr_example.R index 8666c5b..9a6709a 100644 --- a/inst/scripts/spectra-trait_neon_leafN_canopy_plsr_example.R +++ b/inst/scripts/spectra-trait_neon_leafN_canopy_plsr_example.R @@ -272,7 +272,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -282,7 +282,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -412,7 +412,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/inst/scripts/spectra-trait_neon_lma_plsr_example.R b/inst/scripts/spectra-trait_neon_lma_plsr_example.R index 48474e0..b697d09 100644 --- a/inst/scripts/spectra-trait_neon_lma_plsr_example.R +++ b/inst/scripts/spectra-trait_neon_lma_plsr_example.R @@ -236,7 +236,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -246,7 +246,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -376,7 +376,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/inst/scripts/spectra-trait_reseco_leafN_plsr_bootstrap_example.R b/inst/scripts/spectra-trait_reseco_leafN_plsr_bootstrap_example.R index 8a2c0e8..12a7348 100644 --- a/inst/scripts/spectra-trait_reseco_leafN_plsr_bootstrap_example.R +++ b/inst/scripts/spectra-trait_reseco_leafN_plsr_bootstrap_example.R @@ -237,7 +237,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out, intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -247,7 +247,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data, intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -372,7 +372,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/inst/scripts/spectra-trait_reseco_leafN_plsr_example.R b/inst/scripts/spectra-trait_reseco_leafN_plsr_example.R index bbf4e9a..c8262b3 100644 --- a/inst/scripts/spectra-trait_reseco_leafN_plsr_example.R +++ b/inst/scripts/spectra-trait_reseco_leafN_plsr_example.R @@ -239,7 +239,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out, intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -249,7 +249,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data, intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -377,7 +377,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/inst/scripts/spectra-trait_reseco_lma_plsr_example.R b/inst/scripts/spectra-trait_reseco_lma_plsr_example.R index 1262848..d28063f 100644 --- a/inst/scripts/spectra-trait_reseco_lma_plsr_example.R +++ b/inst/scripts/spectra-trait_reseco_lma_plsr_example.R @@ -288,7 +288,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out, intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -298,7 +298,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data, intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -447,7 +447,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/ely_leafN_bootstrap_plsr_example.Rmd b/vignettes/ely_leafN_bootstrap_plsr_example.Rmd index 9619c38..17a4d0a 100644 --- a/vignettes/ely_leafN_bootstrap_plsr_example.Rmd +++ b/vignettes/ely_leafN_bootstrap_plsr_example.Rmd @@ -4,9 +4,9 @@ author: "Shawn P. Serbin, Julien Lamour, & Jeremiah Anderson" output: github_document: default html_notebook: default + pdf_document: default html_document: df_print: paged - pdf_document: default params: date: !r Sys.Date() --- @@ -211,7 +211,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -221,7 +221,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -355,7 +355,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/ely_leafN_bootstrap_plsr_example.md b/vignettes/ely_leafN_bootstrap_plsr_example.md index 17b5820..9910579 100644 --- a/vignettes/ely_leafN_bootstrap_plsr_example.md +++ b/vignettes/ely_leafN_bootstrap_plsr_example.md @@ -103,7 +103,7 @@ inVar <- "N_g_m2" ### Set working directory (scratch space) - ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpqlTXi1" + ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpTADBVi" ### Full PLSR dataset @@ -448,7 +448,7 @@ head(cal.plsr.output) ## 10 Cal 1.358638 1.365181 0.06107105 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -476,7 +476,7 @@ head(val.plsr.output) ## 15 Val 1.1267054 0.002059572 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -677,7 +677,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) @@ -752,7 +752,7 @@ write.csv(out.jk.coefs,file=file.path(outdir,paste0(inVar, print(paste("Output directory: ", outdir)) ``` - ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpqlTXi1" + ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpTADBVi" ``` r # Observed versus predicted diff --git a/vignettes/ely_leafN_bootstrap_plsr_example.pdf b/vignettes/ely_leafN_bootstrap_plsr_example.pdf index cec72bc75326a30165278730d1f6772420936f06..e1963d19e783ef6eec2ae9b30818554af7008f81 100644 GIT binary patch delta 49715 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zKTGlaEp4n}l&l$FOiThJ3twf5BuCl=Xq!8<7)f;mu?3qYGxEBEXfe54C|{QyF`MeY zeX(ID1)M27RRT01>rnvEehRY2-rn}MmKHPy?+@R!Jz9TfBp09iy-fsZ4*)Y*>-2Br zlsQK;3@iPuPE644?Hzikb#WR1=q|(cn>Jd7PUikXxla&(#mXM*Qs?{wHHJU0uxG5@ zMMYH~BKlYw^iEv8Mt)BwEO{ZjRZf^G2M)yoQ!X_v0w`ClAt BDewRQ diff --git a/vignettes/neon_leafN_canopy_plsr_example.Rmd b/vignettes/neon_leafN_canopy_plsr_example.Rmd index 5b4fdca..34ef6f1 100644 --- a/vignettes/neon_leafN_canopy_plsr_example.Rmd +++ b/vignettes/neon_leafN_canopy_plsr_example.Rmd @@ -2,11 +2,11 @@ title: Spectra-trait PLSR example using NEON AOP pixel spectra and field-sampled leaf nitrogen content from CONUS NEON sites author: "Shawn P. Serbin, Julien Lamour, & Jeremiah Anderson" output: - github_document: default - html_notebook: default pdf_document: default + html_notebook: default html_document: df_print: paged + github_document: default params: date: !r Sys.Date() --- @@ -263,7 +263,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -273,7 +273,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -407,7 +407,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/neon_leafN_canopy_plsr_example.md b/vignettes/neon_leafN_canopy_plsr_example.md index acd7a5b..e5c134a 100644 --- a/vignettes/neon_leafN_canopy_plsr_example.md +++ b/vignettes/neon_leafN_canopy_plsr_example.md @@ -83,7 +83,7 @@ output_dir <- "tempdir" ### Set working directory (scratch space) - ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpdmSKEo" + ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpvNSAkI" ### Grab data from EcoSIS @@ -550,7 +550,7 @@ head(cal.plsr.output) ## 8 25.56637 25.29798 -8.3333884 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -578,7 +578,7 @@ head(val.plsr.output) ## 20 31.93483 2.432274 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -743,7 +743,7 @@ rmsep_percrmsep 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--- a/vignettes/neon_lma_plsr_example.Rmd +++ b/vignettes/neon_lma_plsr_example.Rmd @@ -2,11 +2,11 @@ title: Spectra-trait PLSR example using leaf-level spectra and leaf mass per area (LMA) data from CONUS NEON sites author: "Shawn P. Serbin, Julien Lamour, & Jeremiah Anderson" output: - github_document: default pdf_document: default - html_notebook: default html_document: df_print: paged + html_notebook: default + github_document: default params: date: !r Sys.Date() --- @@ -227,7 +227,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -237,7 +237,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -384,7 +384,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/neon_lma_plsr_example.md b/vignettes/neon_lma_plsr_example.md index ab14201..a11b0d4 100644 --- a/vignettes/neon_lma_plsr_example.md +++ b/vignettes/neon_lma_plsr_example.md @@ -81,7 +81,7 @@ output_dir <- "tempdir" ### Set working directory (scratch space) - ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpBqQmIh" + ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpRBdgMm" ### Grab data from EcoSIS @@ -512,7 +512,7 @@ head(cal.plsr.output) ## 6 96.86039 15.190390 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -540,7 +540,7 @@ head(val.plsr.output) ## 4928 65.94687 4.54686556 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -749,7 +749,7 @@ rmsep_percrmsep <- 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z;nM(3d8i^|dQc4!o)%9tSD(xP5%|Xn1dtrdLlxPNp?(HMA=*o^Mv>Mw;s%6NfP#Z~C_9{da8Bvw_WTLRePe_4CRt1 zfRIzTmi%}gUv1c9J!E^DK=6HESv`?(821dSL!pe_q^vp-cr4qekFI13cG!sx0vJ|L z>V0#h&{Nl}XLp0{a`jVq14BeDEF@_xWmv1!HP8 z7oaQo;W}&FT9M~7^Kz}LwdaH;Mh3Hk^taOGWh7O2LY%_lz%Qq|xdB_%;HKf^JUF3v z>BF+E7b4m?xiMn17m>i z_}hueO!vt#!@D%J;+A5%h2Sjj3Z!6k*C_@H_6J24K}S?DpI6+bE^Yzz5H0NVZdI@OJe39e=s(8-}EeVQ@*t2f(0 z>!N*^v2Je?Rs|M!JLg%mY;K~sOtB>Y+MlWN`%P% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -246,7 +246,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -380,7 +380,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data,intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/reseco_leafN_bootstrap_plsr_example.md b/vignettes/reseco_leafN_bootstrap_plsr_example.md index ccba7eb..8deb809 100644 --- a/vignettes/reseco_leafN_bootstrap_plsr_example.md +++ b/vignettes/reseco_leafN_bootstrap_plsr_example.md @@ -82,7 +82,7 @@ output_dir <- "tempdir" ### Set working directory (scratch space) - ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpQYfGuz" + ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpmNliia" ### Grab data from EcoSIS @@ -559,7 +559,7 @@ head(cal.plsr.output) ## 6 2.943186 0.656508493 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -587,7 +587,7 @@ head(val.plsr.output) ## 189 0.13020008 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -788,7 +788,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data,intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) @@ -863,7 +863,7 @@ write.csv(out.jk.coefs,file=file.path(outdir,paste0(inVar, print(paste("Output directory: ", outdir)) ``` - ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpQYfGuz" + ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpmNliia" ``` r # Observed versus predicted diff --git a/vignettes/reseco_leafN_bootstrap_plsr_example.pdf b/vignettes/reseco_leafN_bootstrap_plsr_example.pdf index 744d157fb22492dd3358e1c1a9233f223a7ccf43..55d71c5c8de23111c8acfbd636dc44a329ac0f80 100644 GIT binary patch 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(Narea, g/m2) data from 36 species growing in Rosa rugosa invaded coastal grassland communities in Belgium author: "Shawn P. Serbin, Julien Lamour, & Jeremiah Anderson" output: - github_document: default - html_notebook: default pdf_document: default + html_notebook: default html_document: df_print: paged + github_document: default params: date: !r Sys.Date() --- @@ -235,7 +235,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -245,7 +245,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -380,7 +380,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data,intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/reseco_leafN_plsr_example.md b/vignettes/reseco_leafN_plsr_example.md index 88aea0d..f50aa76 100644 --- a/vignettes/reseco_leafN_plsr_example.md +++ b/vignettes/reseco_leafN_plsr_example.md @@ -82,7 +82,7 @@ output_dir <- "tempdir" ### Set working directory (scratch space) - ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpdoDuGk" + ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpJ6W1sB" ### Grab data from EcoSIS @@ -558,7 +558,7 @@ head(cal.plsr.output) ## 6 2.943186 0.656508493 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -586,7 +586,7 @@ head(val.plsr.output) ## 189 0.13020008 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -798,7 +798,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data,intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) @@ -863,7 +863,7 @@ write.csv(out.jk.coefs,file=file.path(outdir, print(paste("Output directory: ", outdir)) ``` - ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpdoDuGk" + ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpJ6W1sB" ``` r # Observed versus predicted diff --git a/vignettes/reseco_leafN_plsr_example.pdf b/vignettes/reseco_leafN_plsr_example.pdf index 27623fa1558bf517329c41b3155e08382b830679..2b2f34331985cfb693e584e88eb75e97216e31f8 100644 GIT binary patch delta 51954 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36 species growing in Rosa rugosa invaded coastal grassland communities in Belgium author: "Shawn P. Serbin, Julien Lamour, & Jeremiah Anderson" output: - github_document: default - html_notebook: default pdf_document: default + html_notebook: default + github_document: default html_document: df_print: paged params: @@ -268,7 +268,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% @@ -280,7 +280,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -429,7 +429,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data,intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/reseco_lma_plsr_example.md b/vignettes/reseco_lma_plsr_example.md index 3f95bf0..3015be4 100644 --- a/vignettes/reseco_lma_plsr_example.md +++ b/vignettes/reseco_lma_plsr_example.md @@ -82,7 +82,7 @@ output_dir <- "tempdir" ### Step 3. Set working directory (scratch space) - ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpXi9NpC" + ## [1] "/private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpoqfeI6" ### Step 4. Pull example dataset from EcoSIS (ecosis.org) @@ -597,7 +597,7 @@ head(cal.plsr.output) ## 6 142.5160 -37.724928 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% @@ -627,7 +627,7 @@ head(val.plsr.output) ## 189 3.295298 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -826,7 +826,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data,intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) @@ -897,7 +897,7 @@ write.csv(out.jk.coefs,file=file.path(outdir, print(paste("Output directory: ", outdir)) ``` - ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpXi9NpC" + ## [1] "Output directory: /var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T//RtmpoqfeI6" ``` r # Observed versus predicted diff --git a/vignettes/reseco_lma_plsr_example.pdf b/vignettes/reseco_lma_plsr_example.pdf index efb69d3e50f7ddbc2e92834c28f744197f35111e..b600447037454fd38c51ff73c019d945bdf91ad9 100644 GIT binary patch delta 17366 zcmafaV{j+U+IO(AZF^(e_Qtkt``R`-UPk^bZFrys_h z<>*P#KmyEzE04TCu~fYFhp}XFva#jk#&r|^kIrx?##MPn03%yRYb%fa(w)JT5rQPq z-`}vOpdtI9$lJ))Kk9TjubLaRudw()vaE3YarQQ|gPAlyVIULlTwjoh8%h|RR01wp z1&i>(=kuWNArSB-${9;)=z_7&9Gm@JUg~;VHEY8j@L?rw-_dMy42XYtQ>7S+A<54Q 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zUJ48^7NWpSC1trjd%B>xxb#XV%0=|c59*zBkl?3Me;fYkr+ts@EX`aD65KL7M0hMy zIbY1YWI)E98*y?G0b{D*K6ZelA=an7ozaALUXW0`3i5Yjev$d73c$|3&&eVVcQUh1 z{9v^>pkDQnX&HSMvtM=}kZu!Tao)@b7O(c9|2OjO7}N`@wks%M1MVt1Bnq1NWx?_x2Ri z_n_^?Ve7!ZRdf8u8+&016o29?!r#-zfBYX@yjqbB6LUh~x=@+=&`;pU&dR}(Z0?=- EKa7HxH~;_u diff --git a/vignettes/kit_sla_plsr_example.Rmd b/vignettes/kit_sla_plsr_example.Rmd index 8a826a8..686c81a 100644 --- a/vignettes/kit_sla_plsr_example.Rmd +++ b/vignettes/kit_sla_plsr_example.Rmd @@ -3,10 +3,10 @@ title: Spectra-trait PLSR example using leaf-level spectra and specific leaf are author: "Shawn P. Serbin, Julien Lamour, & Jeremiah Anderson" output: github_document: default - pdf_document: default - html_notebook: default html_document: df_print: paged + html_notebook: default + pdf_document: default params: date: !r Sys.Date() --- @@ -229,7 +229,7 @@ cal.plsr.output <- data.frame(cal.plsr.data[, which(names(cal.plsr.data) %notin% cal.plsr.output <- cal.plsr.output %>% mutate(PLSR_CV_Residuals = PLSR_CV_Predicted-get(inVar)) head(cal.plsr.output) -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -239,7 +239,7 @@ val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% val.plsr.output <- val.plsr.output %>% mutate(PLSR_Residuals = PLSR_Predicted-get(inVar)) head(val.plsr.output) -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -372,7 +372,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/kit_sla_plsr_example.md b/vignettes/kit_sla_plsr_example.md index 80f27f3..8050953 100644 --- a/vignettes/kit_sla_plsr_example.md +++ b/vignettes/kit_sla_plsr_example.md @@ -85,7 +85,7 @@ output_dir <- "tempdir" ### Set working directory (scratch space) - ## [1] "Output directory: /private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/Rtmpm4d2mF" + ## [1] "Output directory: /private/var/folders/xp/h3k9vf3n2jx181ts786_yjrn9c2gjq/T/RtmpktUPJx" ### Grab data from EcoSIS @@ -626,7 +626,7 @@ head(cal.plsr.output) ## 6 277.2292 274.2644 -113.974044 ``` r -cal.R2 <- round(pls::R2(plsr.out)[[1]][nComps],2) +cal.R2 <- round(pls::R2(plsr.out,intercept=F)[[1]][nComps],2) cal.RMSEP <- round(sqrt(mean(cal.plsr.output$PLSR_CV_Residuals^2)),2) val.plsr.output <- data.frame(val.plsr.data[, which(names(val.plsr.data) %notin% "Spectra")], @@ -654,7 +654,7 @@ head(val.plsr.output) ## 47 274.2311 -37.170622 ``` r -val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data)[[1]][nComps],2) +val.R2 <- round(pls::R2(plsr.out,newdata=val.plsr.data,intercept=F)[[1]][nComps],2) val.RMSEP <- round(sqrt(mean(val.plsr.output$PLSR_Residuals^2)),2) rng_quant <- quantile(cal.plsr.output[,inVar], probs = c(0.001, 0.999)) @@ -849,7 +849,7 @@ rmsep_percrmsep <- spectratrait::percent_rmse(plsr_dataset = val.plsr.output, range="full") RMSEP <- rmsep_percrmsep$rmse perc_RMSEP <- rmsep_percrmsep$perc_rmse -r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data)$val[nComps+1],2) +r2 <- round(pls::R2(plsr.out, newdata = val.plsr.data, intercept=F)$val[nComps],2) expr <- vector("expression", 3) expr[[1]] <- bquote(R^2==.(r2)) expr[[2]] <- bquote(RMSEP==.(round(RMSEP,2))) diff --git a/vignettes/kit_sla_plsr_example.pdf b/vignettes/kit_sla_plsr_example.pdf index 0f684d9c3b7de25c35b8ca80d1d19121221343e1..b5d193a02809dec394d5937f9ab056fb147de84d 100644 GIT binary patch delta 17946 zcmX_HbyOSM*Tssv7I&w(1uX@NyBBx2;F@B^-JRlAAh=V!K!M`!1PxH!%g5{Qz3-1Z zv)0^oCo}h)v-dtbN!Kj>*ercrC?XsWXR<2}OL83|3TXO`%a@34=>-$%sc(kuU-jD; zk15*wO6Zrh%@kPZ8OO&0A7vAPY%5XyYYwNyoO$J2Ho=MDr|PY9)RH zI(v`py$EuR*-MU(^-xIP_dE4nJM%xKa;3AO>c@bQ+J+_H1S}$3lLMUnq&m+?Vd1)E z&?jQl_G<&es!b5$Sob0gLS-E*#|`Wv$aTXPuen?TbR?djOAUB4y~<%tWOmgM7Zm&Z 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