!(CRAN) files commented out

.Rbuildignore

@@ -5,3 +5,4 @@ revdep
 ^.*\.Rproj$
 ^\.Rproj\.user$
 fda_release_to_CRAN.R
+^CRAN-SUBMISSION$

DESCRIPTION

@@ -1,10 +1,10 @@
 Package: fda
 Version: 6.1.3
-Date: 2023-04-24
+Date: 2023-04-27
 Title: Functional Data Analysis
 Authors@R: c(person("James", "Ramsay", 
             role=c("aut","cre"),
-            email="james.ramsay@mcgill.ca"), 
+            email="ramsay@psych.mcgill.ca"), 
           person("Giles", "Hooker",
             role="ctb",
             email="gjh27@cornell.edu"),
@@ -29,5 +29,5 @@ Description: These functions were developed to support functional data
 License: GPL (>= 2)
 URL: http://www.functionaldata.org
 LazyData: true
-NeedsCompilation: no
+NeedsCompilation: yes
 VignetteBuilder: knitr

NAMESPACE

@@ -114,7 +114,6 @@ export(AmpPhaseDecomp,
        plotbeta,
        plotfit.fd, 
        plotfit.fdSmooth,
-       plotreg.fd,
        plotscores,
        plus.fd, 
        polyg,

man/as.array3.Rd

@@ -67,10 +67,11 @@ as.array3(x)
   ##
   ## 4-d array 
   ##
-
-  if(!CRAN()) {
-    as.array3(array(1:24, 1:4)) 
-  }
+  # These lines throw an error because the dimensionality woud be 4
+  # and as.array3 only allows dimensions 3 or less.
+  # if(!CRAN()) {
+  #   as.array3(array(1:24, 1:4)) 
+  # }
 }
 \keyword{utilities}
 

man/as.fd.Rd

@@ -113,9 +113,9 @@ lines(x., eval.fd(x., fn.), col='green', lty='dotted', lwd=3)
 
 if(!CRAN()) {
 # Will NOT translate a periodic spline
-fp <- splinefun(x, y, method='periodic')
-as.fd(fp)
-#Error in as.fd.function(fp) :
+# fp <- splinefun(x, y, method='periodic')
+# as.fd(fp)
+# Error in as.fd.function(fp) :
 #  x (fp)  uses periodic B-splines, and as.fd is programmed
 #   to translate only B-splines with coincident boundary knots.
 }

man/eval.surp.Rd

@@ -19,8 +19,8 @@ eval.surp(evalarg, Wfdobj, nderiv = 0)
   the set \code{c(0,1,2)}.}
 }
 \details{A surprisal \code{M}-vector is information measured in \code{M}-bits.
-Since a multinomial probability vector must sum to one, it follows that the
-surprisal vector \code{S} must satisfy the constraint 
+Since a multinomial probability vector must sum to one, it follows 
+that the surprisal vector \code{S} must satisfy the constraint 
 \code{log_M(sum(M^(-S)) = 0.} That is, surprisal vectors lie within a
 curved \code{M-1}-dimensional manifold.
 

man/fd.Rd

@@ -106,9 +106,10 @@ all.equal(fd.bspl1.1, fd.bspl1.1a)
 \dontshow{ ) }
 # TRUE
 
-if(!CRAN()) {
-  fd.bspl1.1b <- fd(0)
-}
+# the following three lines shown an error in a non-cran check:
+# if(!CRAN()) {
+#   fd.bspl1.1b <- fd(0)
+# }
 
 ##
 ## Cubic spline:  4  basis functions

man/norder.Rd

@@ -70,11 +70,12 @@ norder(x, ...)
   # 21 breaks, 19 interior knots.
   stopifnot(norder(create.bspline.basis()) == 4)
 
-  if (!CRAN()) {
-    norder(create.fourier.basis(c(0,12) ))
+  # these five lines throw an error of for a nocran check 
+  # if (!CRAN()) {
+  #   norder(create.fourier.basis(c(0,12) ))
     # Error in norder.bspline(x) :
     # object x is of type = fourier;  'norder' is only defined for type = 'bspline'
-  }
+  # }
 
 }
 \keyword{smooth}