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Felipe Carrillo

2009-May-28 18:47 UTC

[R] ggplot2 legend

Hi:
  I need some help with the legend. I got 14 samples(Muestreo) and I
  am trying to plot a smooth line for each sample. I am able to accomplish that
but the problem is that the legend only displays every other sample. How can I
force the legend to show all of my Muestreos? Thanks in advance.

fish_ByMuestreo <- structure(list(data = structure(list(SampleDate =
structure(c(3L,
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L, 7L,
10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L, 27L,
17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L, 24L,
30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L, 33L,
36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L, 39L, 39L, 39L, 14L, 14L,
14L, 14L, 14L, 14L, 5L, 5L, 5L, 8L, 8L, 8L, 11L, 11L, 11L, 11L,
15L, 15L, 15L, 28L, 28L, 28L, 28L, 28L, 18L, 18L, 18L, 18L, 18L,
22L, 22L, 22L, 22L, 25L, 25L, 25L, 25L, 40L, 40L, 40L, 40L, 40L,
31L, 31L, 31L, 31L, 37L, 37L, 37L, 37L, 1L, 1L, 1L, 1L, 1L, 3L,
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L, 7L,
10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L, 27L,
17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L, 24L,
30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L, 33L,
36L, 36L, 36L, 36L, 36L, 14L, 14L, 14L, 14L, 14L, 14L, 5L, 5L,
5L, 8L, 8L, 8L, 11L, 11L, 11L, 11L, 15L, 15L, 15L, 28L, 28L,
28L, 28L, 28L, 18L, 18L, 18L, 18L, 18L, 22L, 22L, 22L, 22L, 25L,
25L, 25L, 25L, 40L, 40L, 40L, 40L, 40L, 31L, 31L, 31L, 31L, 34L,
34L, 34L, 34L, 34L, 37L, 37L, 37L, 37L, 1L, 1L, 1L, 1L, 1L, 6L,
6L, 6L, 6L, 6L, 6L, 9L, 9L, 9L, 12L, 12L, 12L, 21L, 21L, 21L,
21L, 29L, 29L, 29L, 19L, 19L, 19L, 19L, 19L, 23L, 23L, 23L, 23L,
23L, 26L, 26L, 26L, 26L, 41L, 41L, 41L, 41L, 32L, 32L, 32L, 32L,
32L, 35L, 35L, 35L, 35L, 38L, 38L, 38L, 38L, 38L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L,
7L, 7L, 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L,
27L, 27L, 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L,
24L, 24L, 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L,
33L, 33L, 36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L, 39L, 39L, 39L,
3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L,
7L, 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L,
27L, 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L,
24L, 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L,
33L, 36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L, 39L, 39L, 39L), .Label =
c("10/2/2002",
"10/4/2002", "6/23/2002", "6/30/2002",
"7/10/2002", "7/12/2002",
"7/14/2002", "7/17/2002", "7/19/2002",
"7/21/2002", "7/24/2002",
"7/26/2002", "7/28/2002", "7/3/2002",
"7/31/2002", "7/7/2002",
"8/11/2002", "8/14/2002", "8/16/2002",
"8/18/2002", "8/2/2002",
"8/21/2002", "8/23/2002", "8/25/2002",
"8/28/2002", "8/30/2002",
"8/4/2002", "8/7/2002", "8/9/2002",
"9/1/2002", "9/11/2002",
"9/13/2002", "9/15/2002", "9/18/2002",
"9/20/2002", "9/22/2002",
"9/25/2002", "9/27/2002", "9/29/2002",
"9/4/2002", "9/6/2002",
"9/8/2002"), class = "factor"), PondName = structure(c(1L,
1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L), .Label = c("Pond01",
"Pond02", "Pond03", "Pond04", "Pond05",
"Pond06", "Pond07"), class = "factor"),
    Muestreo = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
    3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L,
    7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L,
    10L, 10L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L,
    13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L,
    15L, 15L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,
    4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
    7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L,
    10L, 11L, 11L, 11L, 11L, 13L, 13L, 13L, 13L, 14L, 14L, 14L,
    14L, 14L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,
    4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
    7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L,
    10L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L,
    13L, 13L, 14L, 14L, 14L, 14L, 14L, 1L, 1L, 1L, 1L, 1L, 1L,
    2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L,
    6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L,
    9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 12L, 12L,
    12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L,
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
    4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L,
    8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L,
    11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L,
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
    4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L,
    8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L,
    11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L,
    14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 1L,
    1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,
    5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L, 8L,
    8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L,
    11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L,
    14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L), BodyWeight.g. = c(1,
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5, 5,
    7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10, 12,
    11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14, 17,
    16, 17, 15.5, 18, 18, 18, 17, 18, 19, 21, 21, 21, 25, 22,
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5,
    5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10,
    12, 11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 17, 15.5,
    18, 18, 18, 17, 18, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
    2, 2, 2, 3, 4, 4.5, 5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9,
    8, 9, 11, 11, 10, 11, 10, 12, 10.5, 12, 14, 14, 13, 13.5,
    17, 16, 14, 15, 14, 17, 16, 17, 15.5, 18, 18, 18, 17, 18,
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5,
    5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10,
    12, 11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14,
    17, 16, 17, 15.5, 18, 18, 18, 17, 18, 1, 1, 1, 1, 1, 1, 1,
    1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5, 5, 7, 6, 7, 6, 7, 8,
    7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10, 12, 11, 10, 12, 10.5,
    14, 14, 13, 13.5, 17, 16, 14, 15, 14, 17, 16, 17, 15.5, 1,
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5, 5,
    7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10, 12,
    11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14, 17,
    16, 17, 15.5, 18, 18, 18, 17, 18, 19, 21, 21, 21, 25, 22,
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5,
    5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10,
    12, 11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14,
    17, 16, 17, 15.5, 18, 18, 18, 17, 18, 19, 21, 21, 21, 25,
    22), Length.mm. = c(2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
    2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L,
    8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
    12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
    14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 18L,
    19L, 17L, 18L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,
    2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L,
    8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
    12L, 11L, 12L, 12L, 13L, 14L, 12L, 14L, 15L, 16L, 16L, 15L,
    16L, 17L, 16L, 17L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
    2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L,
    8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 11L, 12L,
    11L, 12L, 10L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
    14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 2L, 2L, 3L,
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L,
    5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L,
    9L, 10L, 11L, 10L, 10L, 11L, 12L, 11L, 12L, 12L, 13L, 14L,
    12L, 13L, 14L, 15L, 16L, 15L, 14L, 15L, 16L, 16L, 15L, 16L,
    17L, 16L, 17L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,
    2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L,
    8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
    12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
    14L, 15L, 16L, 16L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
    2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L,
    8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
    12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
    14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 18L,
    19L, 17L, 18L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,
    2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L,
    8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
    12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
    14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 18L,
    19L, 17L, 18L)), .Names = c("SampleDate", "PondName",
"Muestreo",
"BodyWeight.g.", "Length.mm."), class =
"data.frame", row.names = c("1",
"2", "3", "4", "5", "6",
"7", "8", "9", "10", "11",
"12", "13",
"14", "15", "16", "17", "18",
"19", "20", "21", "22", "23",
"24",
"25", "26", "27", "28", "29",
"30", "31", "32", "33", "34",
"35",
"36", "37", "38", "39", "40",
"41", "42", "43", "44", "45",
"46",
"47", "48", "49", "50", "51",
"52", "53", "54", "55", "56",
"57",
"58", "59", "60", "61", "62",
"63", "64", "65", "66", "67",
"68",
"69", "70", "71", "72", "73",
"74", "75", "76", "77", "78",
"79",
"80", "81", "82", "83", "84",
"85", "86", "87", "88", "89",
"90",
"91", "92", "93", "94", "95",
"96", "97", "98", "99", "100",
"101", "102", "103", "104",
"105", "106", "107", "108",
"109",
"110", "111", "112", "113",
"114", "115", "116", "117",
"118",
"119", "120", "121", "122",
"123", "124", "125", "126",
"127",
"128", "129", "130", "131",
"132", "133", "134", "135",
"136",
"137", "138", "139", "140",
"141", "142", "143", "144",
"145",
"146", "147", "148", "149",
"150", "151", "152", "153",
"154",
"155", "156", "157", "158",
"159", "160", "161", "162",
"163",
"164", "165", "166", "167",
"168", "169", "170", "171",
"172",
"173", "174", "175", "176",
"177", "178", "179", "180",
"181",
"182", "183", "184", "185",
"186", "187", "188", "189",
"190",
"191", "192", "193", "194",
"195", "196", "197", "198",
"199",
"200", "201", "202", "203",
"204", "205", "206", "207",
"208",
"209", "210", "211", "212",
"213", "214", "215", "216",
"217",
"218", "219", "220", "221",
"222", "223", "224", "225",
"226",
"227", "228", "229", "230",
"231", "232", "233", "234",
"235",
"236", "237", "238", "239",
"240", "241", "242", "243",
"244",
"245", "246", "247", "248",
"249", "250", "251", "252",
"253",
"254", "255", "256", "257",
"258", "259", "260", "261",
"262",
"263", "264", "265", "266",
"267", "268", "269", "270",
"271",
"272", "273", "274", "275",
"276", "277", "278", "279",
"280",
"281", "282", "283", "284",
"285", "286", "287", "288",
"289",
"290", "291", "292", "293",
"294", "295", "296", "297",
"298",
"299", "300", "301", "302",
"303", "304", "305", "306",
"307",
"308", "309", "310", "311",
"312", "313", "314", "315",
"316",
"317", "318", "319", "320",
"321", "322", "323", "324",
"325",
"326", "327", "328", "329",
"330", "331", "332", "333",
"334",
"335", "336", "337", "338",
"339", "340", "341", "342",
"343",
"344", "345", "346", "347",
"348", "349", "350", "351",
"352",
"353", "354", "355", "356",
"357", "358", "359", "360",
"361",
"362", "363", "364", "365",
"366", "367", "368", "369",
"370",
"371", "372", "373", "374",
"375", "376", "377", "378",
"379",
"380", "381", "382", "383",
"384", "385", "386", "387",
"388",
"389", "390", "391", "392",
"393", "394", "395", "396",
"397",
"398", "399", "400", "401",
"402", "403", "404", "405",
"406",
"407", "408", "409", "410",
"411", "412", "413", "414",
"415",
"416", "417", "418", "419",
"420", "421", "422", "423",
"424",
"425", "426", "427", "428"))
library(ggplot2)
fishplot <- 
qplot(PondName,BodyWeight.g.,data=fish_ByMuestreo,colour=Muestreo,position="jitter")
+
 
stat_summary(aes(group=Muestreo),fun.data="mean_cl_normal",colour="green",geom="smooth",fill=NA)
+
opts(title="Average weight(grs) by Pond")
print(fishplot)


Felipe D. Carrillo  
Supervisory Fishery Biologist  
Department of the Interior  
US Fish & Wildlife Service  
California, USA

Mike Lawrence

2009-May-28 20:06 UTC

head link

[R] ggplot2 legend

First, your example didn't work because fish_ByMuestreo didn't build
properly (deleting the first "structure(list(data = " bit solves
this).

To solve your plotting problem, note that as constructed, the Muestreo
column is numeric, whereas you seem to want to treat it as a factor.
Solution: convert to factor:

fish_ByMuestreo$Muestreo=factor(fish_ByMuestreo$Muestreo)

On Thu, May 28, 2009 at 3:47 PM, Felipe Carrillo
<mazatlanmexico at yahoo.com> wrote:>
> Hi:
> ?I need some help with the legend. I got 14 samples(Muestreo) and I
> ?am trying to plot a smooth line for each sample. I am able to accomplish
that but the problem is that the legend only displays every other sample. How
can I force the legend to show all of my Muestreos? Thanks in advance.
>
> fish_ByMuestreo <- structure(list(data = structure(list(SampleDate =
structure(c(3L,
> 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L, 7L,
> 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L, 27L,
> 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L, 24L,
> 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L, 33L,
> 36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L, 39L, 39L, 39L, 14L, 14L,
> 14L, 14L, 14L, 14L, 5L, 5L, 5L, 8L, 8L, 8L, 11L, 11L, 11L, 11L,
> 15L, 15L, 15L, 28L, 28L, 28L, 28L, 28L, 18L, 18L, 18L, 18L, 18L,
> 22L, 22L, 22L, 22L, 25L, 25L, 25L, 25L, 40L, 40L, 40L, 40L, 40L,
> 31L, 31L, 31L, 31L, 37L, 37L, 37L, 37L, 1L, 1L, 1L, 1L, 1L, 3L,
> 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L, 7L,
> 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L, 27L,
> 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L, 24L,
> 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L, 33L,
> 36L, 36L, 36L, 36L, 36L, 14L, 14L, 14L, 14L, 14L, 14L, 5L, 5L,
> 5L, 8L, 8L, 8L, 11L, 11L, 11L, 11L, 15L, 15L, 15L, 28L, 28L,
> 28L, 28L, 28L, 18L, 18L, 18L, 18L, 18L, 22L, 22L, 22L, 22L, 25L,
> 25L, 25L, 25L, 40L, 40L, 40L, 40L, 40L, 31L, 31L, 31L, 31L, 34L,
> 34L, 34L, 34L, 34L, 37L, 37L, 37L, 37L, 1L, 1L, 1L, 1L, 1L, 6L,
> 6L, 6L, 6L, 6L, 6L, 9L, 9L, 9L, 12L, 12L, 12L, 21L, 21L, 21L,
> 21L, 29L, 29L, 29L, 19L, 19L, 19L, 19L, 19L, 23L, 23L, 23L, 23L,
> 23L, 26L, 26L, 26L, 26L, 41L, 41L, 41L, 41L, 32L, 32L, 32L, 32L,
> 32L, 35L, 35L, 35L, 35L, 38L, 38L, 38L, 38L, 38L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L,
> 7L, 7L, 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L,
> 27L, 27L, 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L,
> 24L, 24L, 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L,
> 33L, 33L, 36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L, 39L, 39L, 39L,
> 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L,
> 7L, 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L,
> 27L, 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L,
> 24L, 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L,
> 33L, 36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L, 39L, 39L, 39L), .Label =
c("10/2/2002",
> "10/4/2002", "6/23/2002", "6/30/2002",
"7/10/2002", "7/12/2002",
> "7/14/2002", "7/17/2002", "7/19/2002",
"7/21/2002", "7/24/2002",
> "7/26/2002", "7/28/2002", "7/3/2002",
"7/31/2002", "7/7/2002",
> "8/11/2002", "8/14/2002", "8/16/2002",
"8/18/2002", "8/2/2002",
> "8/21/2002", "8/23/2002", "8/25/2002",
"8/28/2002", "8/30/2002",
> "8/4/2002", "8/7/2002", "8/9/2002",
"9/1/2002", "9/11/2002",
> "9/13/2002", "9/15/2002", "9/18/2002",
"9/20/2002", "9/22/2002",
> "9/25/2002", "9/27/2002", "9/29/2002",
"9/4/2002", "9/6/2002",
> "9/8/2002"), class = "factor"), PondName =
structure(c(1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
> 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
> 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
> 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
> 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
> 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
> 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
> 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
> 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
> 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
> 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
> 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L), .Label = c("Pond01",
> "Pond02", "Pond03", "Pond04",
"Pond05", "Pond06", "Pond07"), class =
"factor"),
> ? ?Muestreo = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
> ? ?3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L,
> ? ?7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L,
> ? ?10L, 10L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L,
> ? ?13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L,
> ? ?15L, 15L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,
> ? ?4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> ? ?7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L,
> ? ?10L, 11L, 11L, 11L, 11L, 13L, 13L, 13L, 13L, 14L, 14L, 14L,
> ? ?14L, 14L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,
> ? ?4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> ? ?7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L,
> ? ?10L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L,
> ? ?13L, 13L, 14L, 14L, 14L, 14L, 14L, 1L, 1L, 1L, 1L, 1L, 1L,
> ? ?2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L,
> ? ?6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L,
> ? ?9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 12L, 12L,
> ? ?12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L,
> ? ?1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
> ? ?4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L,
> ? ?8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L,
> ? ?11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L,
> ? ?1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
> ? ?4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L,
> ? ?8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L,
> ? ?11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L,
> ? ?14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 1L,
> ? ?1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,
> ? ?5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L, 8L,
> ? ?8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L,
> ? ?11L, 11L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L,
> ? ?14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L), BodyWeight.g. = c(1,
> ? ?1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5, 5,
> ? ?7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10, 12,
> ? ?11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14, 17,
> ? ?16, 17, 15.5, 18, 18, 18, 17, 18, 19, 21, 21, 21, 25, 22,
> ? ?1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5,
> ? ?5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10,
> ? ?12, 11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 17, 15.5,
> ? ?18, 18, 18, 17, 18, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
> ? ?2, 2, 2, 3, 4, 4.5, 5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9,
> ? ?8, 9, 11, 11, 10, 11, 10, 12, 10.5, 12, 14, 14, 13, 13.5,
> ? ?17, 16, 14, 15, 14, 17, 16, 17, 15.5, 18, 18, 18, 17, 18,
> ? ?1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5,
> ? ?5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10,
> ? ?12, 11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14,
> ? ?17, 16, 17, 15.5, 18, 18, 18, 17, 18, 1, 1, 1, 1, 1, 1, 1,
> ? ?1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5, 5, 7, 6, 7, 6, 7, 8,
> ? ?7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10, 12, 11, 10, 12, 10.5,
> ? ?14, 14, 13, 13.5, 17, 16, 14, 15, 14, 17, 16, 17, 15.5, 1,
> ? ?1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5, 5,
> ? ?7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10, 12,
> ? ?11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14, 17,
> ? ?16, 17, 15.5, 18, 18, 18, 17, 18, 19, 21, 21, 21, 25, 22,
> ? ?1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4.5,
> ? ?5, 7, 6, 7, 6, 7, 8, 7, 8, 7, 9, 8, 9, 8, 9, 11, 11, 10,
> ? ?12, 11, 10, 12, 10.5, 14, 14, 13, 13.5, 17, 16, 14, 15, 14,
> ? ?17, 16, 17, 15.5, 18, 18, 18, 17, 18, 19, 21, 21, 21, 25,
> ? ?22), Length.mm. = c(2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
> ? ?2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L,
> ? ?8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
> ? ?12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
> ? ?14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 18L,
> ? ?19L, 17L, 18L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,
> ? ?2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L,
> ? ?8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
> ? ?12L, 11L, 12L, 12L, 13L, 14L, 12L, 14L, 15L, 16L, 16L, 15L,
> ? ?16L, 17L, 16L, 17L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
> ? ?2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L,
> ? ?8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 11L, 12L,
> ? ?11L, 12L, 10L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
> ? ?14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 2L, 2L, 3L,
> ? ?2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L,
> ? ?5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L,
> ? ?9L, 10L, 11L, 10L, 10L, 11L, 12L, 11L, 12L, 12L, 13L, 14L,
> ? ?12L, 13L, 14L, 15L, 16L, 15L, 14L, 15L, 16L, 16L, 15L, 16L,
> ? ?17L, 16L, 17L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,
> ? ?2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L,
> ? ?8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
> ? ?12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
> ? ?14L, 15L, 16L, 16L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
> ? ?2L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L,
> ? ?8L, 8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
> ? ?12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
> ? ?14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 18L,
> ? ?19L, 17L, 18L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,
> ? ?2L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 6L, 6L, 7L, 5L, 6L, 7L, 8L,
> ? ?8L, 9L, 8L, 8L, 9L, 9L, 8L, 9L, 10L, 11L, 10L, 10L, 11L,
> ? ?12L, 11L, 12L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 15L,
> ? ?14L, 15L, 16L, 16L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 18L,
> ? ?19L, 17L, 18L)), .Names = c("SampleDate",
"PondName", "Muestreo",
> "BodyWeight.g.", "Length.mm."), class =
"data.frame", row.names = c("1",
> "2", "3", "4", "5", "6",
"7", "8", "9", "10", "11",
"12", "13",
> "14", "15", "16", "17",
"18", "19", "20", "21", "22",
"23", "24",
> "25", "26", "27", "28",
"29", "30", "31", "32", "33",
"34", "35",
> "36", "37", "38", "39",
"40", "41", "42", "43", "44",
"45", "46",
> "47", "48", "49", "50",
"51", "52", "53", "54", "55",
"56", "57",
> "58", "59", "60", "61",
"62", "63", "64", "65", "66",
"67", "68",
> "69", "70", "71", "72",
"73", "74", "75", "76", "77",
"78", "79",
> "80", "81", "82", "83",
"84", "85", "86", "87", "88",
"89", "90",
> "91", "92", "93", "94",
"95", "96", "97", "98", "99",
"100",
> "101", "102", "103", "104",
"105", "106", "107", "108",
"109",
> "110", "111", "112", "113",
"114", "115", "116", "117",
"118",
> "119", "120", "121", "122",
"123", "124", "125", "126",
"127",
> "128", "129", "130", "131",
"132", "133", "134", "135",
"136",
> "137", "138", "139", "140",
"141", "142", "143", "144",
"145",
> "146", "147", "148", "149",
"150", "151", "152", "153",
"154",
> "155", "156", "157", "158",
"159", "160", "161", "162",
"163",
> "164", "165", "166", "167",
"168", "169", "170", "171",
"172",
> "173", "174", "175", "176",
"177", "178", "179", "180",
"181",
> "182", "183", "184", "185",
"186", "187", "188", "189",
"190",
> "191", "192", "193", "194",
"195", "196", "197", "198",
"199",
> "200", "201", "202", "203",
"204", "205", "206", "207",
"208",
> "209", "210", "211", "212",
"213", "214", "215", "216",
"217",
> "218", "219", "220", "221",
"222", "223", "224", "225",
"226",
> "227", "228", "229", "230",
"231", "232", "233", "234",
"235",
> "236", "237", "238", "239",
"240", "241", "242", "243",
"244",
> "245", "246", "247", "248",
"249", "250", "251", "252",
"253",
> "254", "255", "256", "257",
"258", "259", "260", "261",
"262",
> "263", "264", "265", "266",
"267", "268", "269", "270",
"271",
> "272", "273", "274", "275",
"276", "277", "278", "279",
"280",
> "281", "282", "283", "284",
"285", "286", "287", "288",
"289",
> "290", "291", "292", "293",
"294", "295", "296", "297",
"298",
> "299", "300", "301", "302",
"303", "304", "305", "306",
"307",
> "308", "309", "310", "311",
"312", "313", "314", "315",
"316",
> "317", "318", "319", "320",
"321", "322", "323", "324",
"325",
> "326", "327", "328", "329",
"330", "331", "332", "333",
"334",
> "335", "336", "337", "338",
"339", "340", "341", "342",
"343",
> "344", "345", "346", "347",
"348", "349", "350", "351",
"352",
> "353", "354", "355", "356",
"357", "358", "359", "360",
"361",
> "362", "363", "364", "365",
"366", "367", "368", "369",
"370",
> "371", "372", "373", "374",
"375", "376", "377", "378",
"379",
> "380", "381", "382", "383",
"384", "385", "386", "387",
"388",
> "389", "390", "391", "392",
"393", "394", "395", "396",
"397",
> "398", "399", "400", "401",
"402", "403", "404", "405",
"406",
> "407", "408", "409", "410",
"411", "412", "413", "414",
"415",
> "416", "417", "418", "419",
"420", "421", "422", "423",
"424",
> "425", "426", "427", "428"))
> library(ggplot2)
> fishplot <-
?qplot(PondName,BodyWeight.g.,data=fish_ByMuestreo,colour=Muestreo,position="jitter")
+
>
?stat_summary(aes(group=Muestreo),fun.data="mean_cl_normal",colour="green",geom="smooth",fill=NA)
+
> opts(title="Average weight(grs) by Pond")
> print(fishplot)
>
>
> Felipe D. Carrillo
> Supervisory Fishery Biologist
> Department of the Interior
> US Fish & Wildlife Service
> California, USA
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>


-- 
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

Looking to arrange a meeting? Check my public calendar:
http://tr.im/mikes_public_calendar

~ Certainty is folly... I think. ~

Felipe Carrillo

2009-May-28 20:46 UTC

head link

[R] ggplot2 legend

Thanks for your help Mike, it works like a charm now!!

--- On Thu, 5/28/09, Mike Lawrence <Mike.Lawrence at dal.ca> wrote:
> From: Mike Lawrence <Mike.Lawrence at dal.ca>
> Subject: Re: [R] ggplot2 legend
> To: "Felipe Carrillo" <mazatlanmexico at yahoo.com>
> Cc: r-help at stat.math.ethz.ch
> Date: Thursday, May 28, 2009, 1:06 PM
> First, your example didn't work
> because fish_ByMuestreo didn't build
> properly (deleting the first "structure(list(data = " bit
> solves
> this).
> 
> To solve your plotting problem, note that as constructed,
> the Muestreo
> column is numeric, whereas you seem to want to treat it as
> a factor.
> Solution: convert to factor:
> 
> fish_ByMuestreo$Muestreo=factor(fish_ByMuestreo$Muestreo)
> 
> On Thu, May 28, 2009 at 3:47 PM, Felipe Carrillo
> <mazatlanmexico at yahoo.com>
> wrote:
> >
> > Hi:
> > ?I need some help with the legend. I got 14
> samples(Muestreo) and I
> > ?am trying to plot a smooth line for each sample. I
> am able to accomplish that but the problem is that the
> legend only displays every other sample. How can I force the
> legend to show all of my Muestreos? Thanks in advance.
> > library(ggplot2)
> > fishplot <-
>
?qplot(PondName,BodyWeight.g.,data=fish_ByMuestreo,colour=Muestreo,position="jitter")+stat_summary(aes(group=Muestreo),fun.data="mean_cl_normal",colour="green",geom="smooth",fill=NA)+
opts(title="Average weight(grs) by Pond")
print(fishplot)

> > Felipe D. Carrillo
> > Supervisory Fishery Biologist
> > Department of the Interior
> > US Fish & Wildlife Service
> > California, USA
> Mike Lawrence
> Graduate Student
> Department of Psychology
> Dalhousie University

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