fix isssues with non-ascii chars in data

R/series.R

@@ -16,7 +16,7 @@
 #' check \tab check.acf \tab acf \tab autocorrelation function of residuals with standard errors and Ljung-Box Q-statistics computed through each lag \cr
 #' check \tab check.acfsquared \tab ac2 \tab autocorrelation function of squared residuals with standard errors and Ljung-Box Q-statistics computed through each lag \cr
 #' check \tab check.pacf \tab pcf \tab partial autocorrelation function of residuals with standard errors \cr
-#' composite \tab composite.adjcompositesrs \tab b1 \tab aggregated time series data, prior adjusted, with associated dates  \cr
+#' composite \tab composite.adjcompositesrs \tab b1 \tab aggregated time series data, prior adjusted, with associated dates \cr
 #' composite \tab composite.calendaradjcomposite \tab cac \tab aggregated time series data, adjusted for regARIMA calendar effects. \cr
 #' composite \tab composite.compositesrs \tab cms \tab aggregated time series data, with associated dates \cr
 #' composite \tab composite.indadjsatot \tab iaa \tab final indirect seasonally adjusted series, with yearly totals adjusted to match the original series \cr
@@ -48,7 +48,7 @@
 #' estimate \tab estimate.armacmatrix \tab acm \tab correlation matrix of ARMA parameter estimates if used with the print argument; covariance matrix of same if used with the save argument \cr
 #' estimate \tab estimate.iterations \tab itr \tab detailed output for estimation iterations, including log-likelihood values and parameters, and counts of function evaluations and iterations \cr
 #' estimate \tab estimate.regcmatrix \tab rcm \tab correlation matrix of regression parameter estimates if used with the print argument; covariance matrix of same if used with the save argument \cr
-#' estimate \tab estimate.regressioneffects \tab ref \tab Xβ,b matrix of regression variables multiplied by the vector of estimated regression coefficients \cr
+#' estimate \tab estimate.regressioneffects \tab ref \tab Xβ matrix of regression variables multiplied by the vector of estimated regression coefficients \cr
 #' estimate \tab estimate.residuals \tab rsd \tab model residuals with associated dates or observation numbers \cr
 #' estimate \tab estimate.roots \tab rts \tab roots of the autoregressive and moving average operators in the estimated model \cr
 #' force \tab force.forcefactor \tab ffc \tab factors applied to get seasonally adjusted series with constrained yearly totals (if type = regress or type = denton) \cr

noinst/specs/update_specs.R

@@ -1,3 +1,4 @@
+library(tidyverse)
 
 # Update SPECS.csv --------------------------------------------------------
 
@@ -8,7 +9,18 @@ source("noinst/specs/specs_from_pdf.R")
 
 
 # load SPECS data from .csv and store as data/SPECS.RData
-SPECS <- read.csv("noinst/specs/SPECS.csv", stringsAsFactors = FALSE)
+SPECS <- read_csv("noinst/specs/SPECS.csv") |>
+  # Fix non-ascii characters. R CMD CHECK only allows ascii in data
+  mutate(
+    description = stringi::stri_trans_general(description, "latin-ascii")
+  ) |>
+  mutate(
+    # Fix for estimate.regressioneffects. The beta should have a circumflex
+    # but pdftools::pdf_text seens unable to reflect that.
+    description = gsub("Xβ,b", "Xβ", description)
+  ) |>
+  as.data.frame()
+
 
 save(SPECS, file = "data/specs.RData", version = 2)  # version 3 requires >= R3.5