Hi: I need some help.
I am ploting a bar graph but I can't adjust my x axis scale
I use this code:
i <- qplot(ForkLength,Number,data=FL,geom="bar")
i + geom_bar(colour="blue",fill="grey65") # too crowded
FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) +
geom_bar(colour="green",fill="grey65")
FL_dat + scale_x_continuous(limits=c(20,170)) # Can't see anything
FL Number
29 22.9
30 63.4
31 199.3
32 629.6
33 2250.1
34 7452.5
35 19352.9
36 17655.5
37 13020.6
38 5856.0
39 2039.4
40 1261.2
41 780.2
42 826.6
43 739.0
44 608.2
45 694.3
46 599.5
47 690.4
48 762.9
49 594.6
50 771.7
51 695.3
52 784.5
53 780.1
54 823.6
55 883.2
56 747.6
57 834.4
58 716.7
59 632.8
60 670.4
61 511.0
62 577.4
63 538.0
64 452.3
65 451.7
66 355.7
67 294.1
68 278.8
69 165.5
70 208.7
71 161.6
72 159.9
73 100.9
74 84.4
75 110.3
76 69.3
77 60.7
78 63.2
79 28.8
80 46.1
81 34.6
82 37.1
83 35.5
84 35.7
85 24.3
86 17.5
87 24.9
88 21.5
89 17.4
90 14.0
91 7.8
92 10.1
93 6.8
94 2.9
95 4.0
96 7.3
97 4.6
98 4.0
99 1.7
100 5.0
101 11.3
102 3.0
103 5.2
104 9.4
105 6.4
106 1.0
107 8.5
108 8.6
109 10.1
110 9.0
111 11.7
112 16.0
113 3.1
114 7.6
115 3.9
116 7.0
117 6.9
118 8.1
119 2.0
121 3.7
122 1.9
123 4.0
124 6.3
126 2.0
127 2.0
128 1.0
129 2.0
132 2.0
134 7.3
135 1.0
136 1.0
139 1.0
142 1.0
145 1.0
152 2.0
161 2.5
172 1.0
Felipe D. Carrillo
Supervisory Fishery Biologist
Department of the Interior
US Fish & Wildlife Service
California, USA
would you make this reproducible, please. Think cut and paste out of email into R. ?dput my guess would be the breaks argument On Wed, Dec 24, 2008 at 12:31 PM, Felipe Carrillo <mazatlanmexico at yahoo.com> wrote:> Hi: I need some help. > I am ploting a bar graph but I can't adjust my x axis scale > I use this code: > i <- qplot(ForkLength,Number,data=FL,geom="bar") > i + geom_bar(colour="blue",fill="grey65") # too crowded > > FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) + geom_bar(colour="green",fill="grey65") > FL_dat + scale_x_continuous(limits=c(20,170)) # Can't see anything > > FL Number > 29 22.9 > 30 63.4 > 31 199.3 > 32 629.6 > 33 2250.1 > 34 7452.5 > 35 19352.9 > 36 17655.5 > 37 13020.6 > 38 5856.0 > 39 2039.4 > 40 1261.2 > 41 780.2 > 42 826.6 > 43 739.0 > 44 608.2 > 45 694.3 > 46 599.5 > 47 690.4 > 48 762.9 > 49 594.6 > 50 771.7 > 51 695.3 > 52 784.5 > 53 780.1 > 54 823.6 > 55 883.2 > 56 747.6 > 57 834.4 > 58 716.7 > 59 632.8 > 60 670.4 > 61 511.0 > 62 577.4 > 63 538.0 > 64 452.3 > 65 451.7 > 66 355.7 > 67 294.1 > 68 278.8 > 69 165.5 > 70 208.7 > 71 161.6 > 72 159.9 > 73 100.9 > 74 84.4 > 75 110.3 > 76 69.3 > 77 60.7 > 78 63.2 > 79 28.8 > 80 46.1 > 81 34.6 > 82 37.1 > 83 35.5 > 84 35.7 > 85 24.3 > 86 17.5 > 87 24.9 > 88 21.5 > 89 17.4 > 90 14.0 > 91 7.8 > 92 10.1 > 93 6.8 > 94 2.9 > 95 4.0 > 96 7.3 > 97 4.6 > 98 4.0 > 99 1.7 > 100 5.0 > 101 11.3 > 102 3.0 > 103 5.2 > 104 9.4 > 105 6.4 > 106 1.0 > 107 8.5 > 108 8.6 > 109 10.1 > 110 9.0 > 111 11.7 > 112 16.0 > 113 3.1 > 114 7.6 > 115 3.9 > 116 7.0 > 117 6.9 > 118 8.1 > 119 2.0 > 121 3.7 > 122 1.9 > 123 4.0 > 124 6.3 > 126 2.0 > 127 2.0 > 128 1.0 > 129 2.0 > 132 2.0 > 134 7.3 > 135 1.0 > 136 1.0 > 139 1.0 > 142 1.0 > 145 1.0 > 152 2.0 > 161 2.5 > 172 1.0 > > > 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. >-- Stephen Sefick Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis
I'm just a ggplot2 beginner, but... It seems to me that you're mixing continuous and factor variables/concepts. It looks to me as if ForkLength and Number are continuous values. But you'll need to convert ForkLength into a factor before using geom="bar". I do that and the graph "works" but the bars are extremely busy, which I assume is what you mean by "crowded". As I try several different things, I'm seeing error messages. Are you not seeing error messages? Is the bottom line that you simply want to display some continuous data in a histogram-ish style, and you don't like the default "binning" of Number for each of many ForkLengths? If you simply use geom="line", things look clear and simple, no need to bin or simplify or... If you do end up using geom="bar", I believe the mistake you're making -- and I see an error message when I try -- is that you are using scale_x_continuous whereas the X axis is discrete, so you should be using scale_x_discrete. But then it will take some R magic to combine your "bins" into wider bins so you get a "less crowded" look. Or perhaps I'm misunderstanding? Wayne Felipe Carrillo wrote:> > Hi: I need some help. > I am ploting a bar graph but I can't adjust my x axis scale > I use this code: > i <- qplot(ForkLength,Number,data=FL,geom="bar") > i + geom_bar(colour="blue",fill="grey65") # too crowded > > FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) + > geom_bar(colour="green",fill="grey65") > FL_dat + scale_x_continuous(limits=c(20,170)) # Can't see anything > > FL Number > 29 22.9 > 30 63.4 > 31 199.3 > 32 629.6 > 33 2250.1 > ... >-- View this message in context: http://www.nabble.com/ggplot2-Xlim-tp21161660p21170453.html Sent from the R help mailing list archive at Nabble.com.