more spellcheck

R/Eqn.R

@@ -162,7 +162,7 @@ Eqn_newline <- function()' \\\\ \n'
 
 #' Eqn_text Include literal string in equations
 #'
-#' \code{Eqn_text()} inserts a literla string to be rendered in a text font in an equation
+#' \code{Eqn_text()} inserts a literal string to be rendered in a text font in an equation
 #'
 #' @param text argument to be used within \code{\\text{}}
 #' @rdname Eqn
@@ -175,7 +175,7 @@ Eqn_text <- function(text) sprintf("\\text{%s}", text)
 #' \code{=} signs
 #' Input to \code{lhs}, \code{rhs} can be a
 #' numeric to increase the size of the space or a
-#' character vector to be passed to the LaTex macro \code{\\hspace{}}.
+#' character vector to be passed to the LaTeX macro \code{\\hspace{}}.
 #'
 #' @param lhs spacing size. Can be a number between -1 and 6. -1 provides negative
 #'   spaces and 0 gives no spacing. Input can also be a character vector, which will be

R/latexMatrix.R

@@ -727,7 +727,7 @@ as.double.latexMatrix <- function(x, locals=list(), ...){
 }
 
 #' @param deparse.level to match the generic \code{\link{rbind}()}
-#' and \code{\link{cbind}()} funcctions; ignored
+#' and \code{\link{cbind}()} functions; ignored
 #' @rdname latexMatrix
 #' @export
 cbind.latexMatrix <- function(..., deparse.level){

inst/WORDLIST

@@ -1,6 +1,8 @@
 adjoint
 Adjoint
 Beaton
+behaviour
+bmatrix
 buglet
 carData
 Cheung
@@ -17,6 +19,7 @@ Dempster
 det
 diag
 diagonalizes
+dmurdoch
 eigen
 Eigen
 eigenstructure
@@ -35,6 +38,7 @@ inv
 Jarecki
 kronecker
 Lagrida
+latexMatrix
 Lundberg
 macOS
 mathbf
@@ -43,6 +47,7 @@ MathJax
 MathType
 matrixkit
 mikewlcheung
+norglwidget
 orthogonalization
 Orthogonalization
 orthonormal
@@ -54,6 +59,7 @@ Penrose
 pkgdown
 plotEqn
 pmatrix
+pre
 Proj
 programmatically
 pseudoinverse

vignettes/eigen-ex1.Rmd

@@ -45,7 +45,7 @@ elements in `values`.
 The following steps illustrate the main properties of eigenvalues and eigenvectors.  We use the notation
 $A = V' \Lambda V$ to express the decomposition of the matrix $A$, where $V$ is the matrix of
 eigenvectors and $\Lambda = diag(\lambda_1, \lambda_2, \dots, \lambda_p)$ is the diagonal matrix
-composed of the ordered eivenvalues, $\lambda_1 \ge \lambda_2 \ge \dots \lambda_p$.
+composed of the ordered eigenvalues, $\lambda_1 \ge \lambda_2 \ge \dots \lambda_p$.
 
 0. Orthogonality: Eigenvectors are always orthogonal, $V' V = I$.  `zapsmall()` is handy for cleaning up tiny values.
 ```{r orthog}