fix import in matrix2latex

R/matrix2latex.R

@@ -28,6 +28,7 @@
 #' @param ... additional arguments passed to \code{xtable::xtableMatharray()}
 #' @importFrom xtable xtableMatharray
 #' @importFrom dplyr case_when
+#' @importFrom utils capture.output
 #' @author Phil Chalmers
 #' @export
 #' @examples

vignettes/linear-equations.Rmd

@@ -106,7 +106,7 @@ all.equal( R(A), R(cbind(A,b)) )  # consistent?
 ```
 You can see this in the result of reducing $\mathbf{A} | \mathbf{b}$ to echelon form, where the
 last row indicates the inconsistency.
-```{r}
+```{r echelon}
 echelon(A, b)
 ```
 `Solve()` shows this more explicitly:
@@ -116,15 +116,15 @@ Solve(A, b, fractions=TRUE)
 
 
 An approximate solution is sometimes available using a generalized inverse.
-```{r}
+```{r ginv}
 x <- MASS::ginv(A) %*% b
 x
 ```
 
 
 Plot the equations. You can see that each pair of equations has a solution,
 but all three do not have a common, consistent solution.
-```{r}
+```{r plotEqn4}
 par(mar=c(4,4,0,0)+.1)
 plotEqn(A,b, xlim=c(-2, 4))
 points(x[1], x[2], pch=15)
@@ -139,7 +139,7 @@ have a unique solution if all planes intersect in a point.
 
 ### Three consistent equations
 
-```{r}
+```{r three-eqn}
 A <- matrix(c(2, 1, -1,
              -3, -1, 2,
              -2,  1, 2), 3, 3, byrow=TRUE)
@@ -171,7 +171,7 @@ echelon(A, b, verbose=TRUE, fractions=TRUE)
 
 Plot them.  `plotEqn3d` uses `rgl` for 3D graphics.  If you rotate the figure, you'll see an orientation
 where all three planes intersect at the solution point, $\mathbf{x} = (2, 3, -1)$ 
-```{r plotEqn1, webgl=TRUE}
+```{r plotEqn3, webgl=TRUE}
 plotEqn3d(A,b, xlim=c(0,4), ylim=c(0,4))
 ```