Fix documentation typos

R/dtwclust.R

@@ -43,14 +43,14 @@
 #'
 #' In the case of multivariate time series, they should be provided as a list of matrices, where
 #' time spans the rows of each matrix and the variables span the columns. At the moment, only `DTW`,
-#' `DTW2` and `GAK` suppport such series, which means only partitional and hierarchical procedures
+#' `DTW2` and `GAK` support such series, which means only partitional and hierarchical procedures
 #' using those distances will work. You can of course create your own custom distances. All included
 #' centroid functions should work with the aforementioned format, although `shape` is **not**
 #' recommended. Note that the `plot` method will simply append all dimensions (columns) one after
 #' the other.
 #'
 #' Several parameters can be adjusted with the `control` argument. See [dtwclustControl]. In the
-#' following sections, elements marked with an asterisk (*) are those that can be adjutsed with this
+#' following sections, elements marked with an asterisk (*) are those that can be adjusted with this
 #' argument.
 #'
 #' @return

R/tsclust.R

@@ -33,15 +33,15 @@
 #' Specifying `type` = `"partitional"`, `preproc` = `zscore`, `distance` = `"sbd"` and `centroid` =
 #' `"shape"` is equivalent to the k-Shape algorithm (Paparrizos and Gravano 2015).
 #'
-#' The `series` may be porovided as a matrix, a data frame or a list. Matrices and data frames are
+#' The `series` may be provided as a matrix, a data frame or a list. Matrices and data frames are
 #' coerced to a list, both row-wise. Only lists can have series with different lengths or multiple
 #' dimensions. Most of the optimizations require series to have the same length, so consider
 #' reinterpolating them to save some time (see Ratanamahatana and Keogh 2004; [reinterpolate()]). No
 #' missing values are allowed.
 #'
 #' In the case of multivariate time series, they should be provided as a list of matrices, where
 #' time spans the rows of each matrix and the variables span the columns (see [CharTrajMV] for an
-#' example). At the moment, only `DTW`, `DTW2` and `GAK` suppport such series. You can of course
+#' example). At the moment, only `DTW`, `DTW2` and `GAK` support such series. You can of course
 #' create your own custom distances. All included centroid functions should work with the
 #' aforementioned format, although `shape` is *not* recommended. Note that the `plot` method will
 #' simply append all dimensions (columns) one after the other.
@@ -174,7 +174,7 @@
 #'   clustering.
 #'
 #'   Repetitions are greatly optimized when PAM centroids are used and the whole distance matrix is
-#'   precomputed, since said matrix is reused for every repetition, and can be comptued in parallel
+#'   precomputed, since said matrix is reused for every repetition, and can be computed in parallel
 #'   (see Parallel section).
 #'
 #' @template parallel