NEWS improve

Author: jangorecki

NEWS.md

@@ -32,7 +32,8 @@
     ```
     Additionally argument names in `frollapply` has been renamed from `x` to `X` and `n` to `N` to avoid conflicts with common argument names that may be passed to `...`, aligning to base R API of `lapply`. `x` and `n` continue to work with a warning, for now.
 
-5. Negative and missing values of `n=` in adaptive rolling functions trigger an error.
+5. Negative and missing values of `n` argument of adaptive rolling functions trigger an error.
+
 ### NOTICE OF INTENDED FUTURE POTENTIAL BREAKING CHANGES 
 
 1. `data.table(x=1, <expr>)`, where `<expr>` is an expression resulting in a 1-column matrix without column names, will eventually have names `x` and `V2`, not `x` and `V1`, consistent with `data.table(x=1, <expr>)` where `<expr>` results in an atomic vector, for example `data.table(x=1, cbind(1))` and `data.table(x=1, 1)` will both have columns named `x` and `V2`. In this release, the matrix case continues to be named `V1`, but the new behavior can be activated by setting `options(datatable.old.matrix.autoname)` to `FALSE`. See point 5 under Bug Fixes for more context; this change will provide more internal consistency as well as more consistency with `data.frame()`.
@@ -213,12 +214,12 @@
 
 18. New helper `frolladapt` to facilitate applying rolling functions over windows of fixed calendar-time width in irregularly-spaced data sets, thereby bypassing the need to "augment" such data with placeholder rows, [#3241](https://github.com/Rdatatable/data.table/issues/3241). Thanks to @jangorecki for implementation.
     ```r
-    idx = as.Date("2025-09-08") + c(0,1,4,5,6,7,9,10,14)
+    idx = as.Date("2025-09-05") + c(0,4,7,8,9,10,12,13,17)
     dt = data.table(index=idx, value=seq_along(idx))
     dt
     #        index value
     #       <Date> <int>
-    #1: 2025-09-08     1
+    #1: 2025-09-05     1
     #2: 2025-09-09     2
     #3: 2025-09-12     3
     #4: 2025-09-13     4
@@ -234,8 +235,8 @@
     dt
     #        index value rollmean3 rollmean3days
     #       <Date> <int>     <num>         <num>
-    #1: 2025-09-08     1        NA            NA
-    #2: 2025-09-09     2        NA            NA
+    #1: 2025-09-05     1        NA            NA
+    #2: 2025-09-09     2        NA           2.0
     #3: 2025-09-12     3         2           3.0
     #4: 2025-09-13     4         3           3.5
     #5: 2025-09-14     5         4           4.0