2 files changed, 51 insertions, 53 deletions
diff --git a/pd/doc/5.reference/plot-help.pd b/pd/doc/5.reference/plot-help.pd
index 050418d2..7d22d06c 100644
--- a/pd/doc/5.reference/plot-help.pd
+++ b/pd/doc/5.reference/plot-help.pd
@@ -4,44 +4,42 @@ array array2 help-plot-array2-template array array3 help-plot-array3-template
 #N struct help-plot-array1-template float y;
 #N struct help-plot-array2-template float x float y;
 #N struct help-plot-array3-template float y float w;
-#N canvas 398 0 516 229 12;
-#N canvas 288 75 606 588 help-plot-template 1;
-#X text 35 30 creation arguments:;
-#X text 51 48 - RGB color (0=black \, 999=white \, 900=red \, 90=green
+#N canvas 477 38 516 229 12;
+#N canvas 486 0 622 558 help-plot-template 0;
+#X text 29 34 creation arguments:;
+#X text 49 94 - RGB color (0=black \, 999=white \, 900=red \, 90=green
 \, 9=blue \, 555=grey \, etc.);
-#X text 50 97 - relative x and y location;
-#X text 50 114 - x spacing;
-#X text 40 150 This first example plots the red trace (500) \, width
+#X text 47 52 - OPTIONAL word "curve" to specify bezier;
+#X text 47 121 - line width;
+#X text 47 137 - relative x and y location;
+#X text 48 153 - x spacing;
+#X obj 40 240 plot curve array2 70 3 100 0;
+#X obj 31 331 plot curve array3 9 1 120 50 20;
+#X obj 45 12 plot array1 500 1 10 15 20;
+#X text 30 170 This first example plots the red trace (500) \, width
 1 \, at point (10 \, 15) \, with horizontal spacing 20 The black diamonds
 come from the template of the array1 element itself.;
-#X text 44 327 If a "w" variable is present in the template as for
+#X text 51 351 If a "w" variable is present in the template as for
 array3 \, it is added to the line width.;
-#X obj 37 493 filledpolygon 509 509 0 -10 -10 10 -10 10 10 -10 10;
-#X text 34 454 To see the data itself \, select "properties" for the
+#X obj 28 524 filledpolygon 509 509 0 -10 -10 10 -10 10 10 -10 10;
+#X text 28 477 To see the data itself \, select "properties" for the
 scalar by right clicking on the purple square.;
-#X obj 36 390 struct help-plot-template float x float y array array1
+#X obj 25 410 struct help-plot-template float x float y array array1
 help-plot-array1-template array array2 help-plot-array2-template array
 array3 help-plot-array3-template;
-#X text 45 369 here's the "struct" for all this:;
-#X obj 51 8 plot array1 500 1 10 15 20 1;
-#X obj 39 217 plot array2 70 3 100 0 0 2;
-#X text 30 542 obsolete feature: the arguments can be preceded by the
-word "curve" to specify bezier curves. This will be phased out.;
-#X text 52 80 - line width in pixels;
-#X text 51 130 - style (0 for points \, 1 for polygon \, 2 for Bezier
-curve);
-#X text 40 236 This is the green spiral (color 70 \, line width 3 \,
+#X text 34 389 here's the "struct" for all this:;
+#X text 46 73 - field to plot (the array);
+#X text 63 262 This is the green spiral (color 70 \, line width 3 \,
 location (100 \, 0). Since the template for array2 contains an "x"
-cariable \, play ignores x spacing requests and takes x from the data
-itself. The style is 2 for a Bezier curve.;
-#X obj 43 309 plot array3 9 1 120 50 20 1;
+variable \, play ignores x spacing requests and takes x from the data
+itself.;
 #X restore 243 78 pd help-plot-template;
 #N canvas 196 292 273 120 help-plot-array1-template 0;
 #X obj 30 71 filledpolygon 0 0 0 -5 0 0 5 5 0 0 -5;
-#X obj 32 27 template float y;
+#X obj 32 27 struct help-plot-array1-template float y;
 #X restore 242 101 pd help-plot-array1-template;
 #N canvas 161 163 273 120 help-plot-array2-template 0;
-#X obj 32 26 template float x float y;
+#X obj 32 26 struct help-plot-array2-template float x float y;
 #X restore 243 123 pd help-plot-array2-template;
 #N canvas 0 0 411 207 help-plot-data 1;
 #X scalar help-plot-template 39 73 \; 0 \; 20 \; 0 \; 30 \; 0 \; \;
@@ -50,12 +48,12 @@ itself. The style is 2 for a Bezier curve.;
 #X restore 242 57 pd help-plot-data;
 #X text 23 139 see also:;
 #X obj 30 184 drawnumber;
-#X obj 29 163 template;
 #X obj 35 22 plot;
 #X text 87 21 -- draw array elements of scalars;
 #X obj 29 206 drawpolygon;
 #N canvas 161 163 273 120 help-plot-array3-template 0;
-#X obj 43 32 template float y float w;
+#X obj 43 32 struct help-plot-array3-template float y float w;
 #X restore 242 144 pd help-plot-array3-template;
 #X text 8 79 explanation is in here-->;
 #X text 264 203 updated for Pd version 0.35;
+#X obj 29 163 struct;
diff --git a/pd/doc/5.reference/rpole~-help.pd b/pd/doc/5.reference/rpole~-help.pd
index 07d50267..011a2b5d 100644
--- a/pd/doc/5.reference/rpole~-help.pd
+++ b/pd/doc/5.reference/rpole~-help.pd
@@ -1,37 +1,37 @@
-#N canvas 56 7 526 510 12;
+#N canvas 56 7 669 542 12;
 #X floatatom 118 172 0 0 0 0 - - -;
 #X obj 54 85 osc~ 100;
 #X msg 69 117 clear;
-#X obj 77 483 lop~;
-#X text 8 483 see also:;
+#X obj 96 512 lop~;
+#X text 10 512 see also:;
 #X obj 52 7 rpole~;
 #X text 114 7 real one-pole (recursive) filter \, raw;
 #X text 8 35 Rpole~ filters an audio signal (left inlet) via a one-pole
 real filter \, whose coefficient is controlled by a creation argument
 or by an audio signal (right inlet).;
-#X text 331 482 updated for Pd version-0.38;
-#X obj 84 430 rzero~;
-#X obj 35 450 cpole~;
-#X obj 35 430 rpole~;
-#X obj 133 430 rzero_rev~;
-#X obj 84 450 czero~;
-#X obj 133 450 czero_rev~;
-#X text 211 430 real;
-#X text 210 451 complex;
-#X text 32 414 1-pole;
-#X text 81 414 1-zero;
-#X text 131 414 1-zero \, reversed;
-#X text 57 399 summary of raw filters:;
+#X text 413 511 updated for Pd version-0.38;
+#X obj 95 441 rzero~;
+#X obj 35 463 cpole~;
+#X obj 35 441 rpole~;
+#X obj 154 441 rzero_rev~;
+#X obj 95 463 czero~;
+#X obj 154 463 czero_rev~;
+#X text 253 441 real;
+#X text 252 464 complex;
+#X text 32 425 1-pole;
+#X text 92 425 1-zero;
+#X text 142 425 1-zero \, reversed;
+#X text 57 410 summary of raw filters:;
 #X msg 71 143 set 1;
-#X text 117 143 <-- set internal state;
-#X text 118 86 <-- signal to filter;
-#X text 142 173 <-- filter coefficient (may be a signal);
-#X text 129 198 <-- creation argument initializes filter coefficient
+#X text 119 142 <-- set internal state;
+#X text 132 86 <-- signal to filter;
+#X text 150 173 <-- filter coefficient (may be a signal);
+#X text 150 195 <-- creation argument initializes filter coefficient
 ;
 #X text 73 252 y[n] = y[n-1] + a[n] * x[n];
-#X text 10 302 The transfer function is H(Z) = 1/(1 - aZ^-1).;
-#X text 113 116 <-- clear internal state to zero;
-#X text 8 270 where y[n] is the output \, x[n] the input \, and a[n]
+#X text 10 310 The transfer function is H(Z) = 1/(1 - aZ^-1).;
+#X text 121 117 <-- clear internal state to zero;
+#X text 11 272 where y[n] is the output \, x[n] the input \, and a[n]
 the filter coefficient. The filter is unstable if/when |a[n]|>1.;
 #X obj 53 195 rpole~ 0.9;
 #X text 14 230 The action of rpole~ is:;
@@ -67,9 +67,9 @@ the filter coefficient. The filter is unstable if/when |a[n]|>1.;
 #X connect 12 0 10 0;
 #X connect 12 0 10 1;
 #X connect 13 0 12 1;
-#X restore 457 416 pd test;
-#X text 111 483 etc.: user-friendly filters;
-#X text 8 320 (Pd also provides a suite of user-friendly filters. This
+#X restore 457 427 pd test;
+#X text 136 512 etc.: user-friendly filters;
+#X text 8 331 (Pd also provides a suite of user-friendly filters. This
 and other raw filters are provided for situations which the user-friendly
 ones can't handle. See Chapter 8 of http://crca.ucsd.edu/~msp/techniques
 for an introduction to the necessary theory.);