Fixing spelling and other small things for submission.

Author: kgoldfeld

DESCRIPTION

@@ -2,7 +2,7 @@ Type: Package
 Package: simstudy
 Title: Simulation of Study Data
 Version: 0.2.0
-Date: 2020-09-25
+Date: 2020-10-06
 Authors@R: 
     c(person(given = "Keith",
              family = "Goldfeld",
@@ -22,9 +22,9 @@ Description: Simulates data sets in order to explore modeling
     designs, and cluster randomized trials. Missingness can be generated
     using various mechanisms (MCAR, MAR, NMAR).
 License: GPL-3
-URL: https://kgoldfeld.github.io/simstudy,
-    https://github.com/kgoldfeld/simstudy,
-    https://github.com/kgoldfeld/simstudy/dev
+URL: https://github.com/kgoldfeld/simstudy,
+     https://kgoldfeld.github.io/simstudy/,
+     https://kgoldfeld.github.io/simstudy/dev/
 BugReports: https://github.com/kgoldfeld/simstudy/issues
 Depends:
     R (>= 3.2.2)

R/generate_data.R

@@ -182,7 +182,7 @@ genDummy <- function(dtName, varname, sep = ".", replace = FALSE) {
 #' @param varname Name of field(s) to be converted.
 #' @param labels Factor level labels. If not provided, the generated factor
 #' levels will be used as the labels. Can be a vector (if only one new factor or
-#' all factors have the same labeks) or a list of character vectors of the same
+#' all factors have the same labels) or a list of character vectors of the same
 #' length as varname.
 #' @param prefix By default, the new field name will be a concatenation of "f"
 #' and the old field name. A prefix string can be provided.
@@ -482,7 +482,7 @@ genMultiFac <- function(nFactors, each, levels = 2, coding = "dummy", colNames =
 #' assign zero probability to non-relevant columns.
 #' @param catVar Name of the new categorical field. Defaults to "cat". Can be a
 #' character vector with a name for each new variable defined via `baseprobs`.
-#' Will be overriden by `prefix` if more than one variable is defined and
+#' Will be overridden by `prefix` if more than one variable is defined and
 #' `length(catVar) == 1`.
 #' @param asFactor If `asFactor == TRUE` (default), new field is returned
 #' as a factor. If `asFactor == FALSE`, new field is returned as an integer.

cran-comments.md

@@ -1,4 +1,4 @@
-## Resubmission 2020OCT05
+## Resubmission 2020OCT06
 
 This is a resubmission of version 0.2.0
 

man/genFactor.Rd

@@ -264,7 +264,7 @@ Until this point, we have been generating new data sets, building them up from s
 
 ### defDataAdd/readDataAdd and addColumns
 
-There are several important functions that facilitate the augementation of data sets. `defDataAdd` and `readDataAdd` are similar to their counterparts `defData` and `readData`; they create data definition tables that will be used by the function `addColumns`. The formulas in these "*add*-ing" functions are permitted to refer to fields that exist in the data set to be augmented, so all variables need not be defined in the current definition able.
+There are several important functions that facilitate the augmentation of data sets. `defDataAdd` and `readDataAdd` are similar to their counterparts `defData` and `readData`; they create data definition tables that will be used by the function `addColumns`. The formulas in these "*add*-ing" functions are permitted to refer to fields that exist in the data set to be augmented, so all variables need not be defined in the current definition able.
 
 ```{r}
 d1 <- defData(varname = "x1", formula = 0, variance = 1, dist = "normal")