title: ggplot2 error: Aesthetics must be either length 1 or the same as the data (24)
body: <p>I am trying to create a plot in ggplot showing the mean home range size of an animal according to different sexes, treatments, time periods and seasons. I get an error in R saying </p>
  
  <blockquote>
    <p>Error: Aesthetics must be either length 1 or the same as the data (24): x, y, colour, shape"</p>
  </blockquote>
  
  <p>I have read similar posts about this error but I haven't been able to figure it out yet. There are no NA's in these columns and my numerical variables are being treated as such. Not sure if the error has to do with a need to sub set the data but I don't understand how I should do that. My code runs fine up until the ggplot part and it is the following:</p>
  
  <pre><code>library("ggplot2")
  library("dplyr")
  
  lion_HR_size &lt;- read.csv(file = "https://dl.dropboxusercontent.com/u/23723553/lion_sample_data.csv",
             header= TRUE, row.names=1)
  
  # Mean of home range size by season, treatment, sex and time
  Mean_HR &lt;- lion_HR_size %&gt;%
  group_by(season, treatment, sex, time) %&gt;%
  summarize(
  mean_HR = mean(Area_HR_km),
  se_HR = sd(Area_HR_km)/sqrt(n()),
  lwrHR = mean_HR - se_HR,
  uprHR = mean_HR + se_HR)
  
  limitsHR &lt;- aes(ymin = lwrHR, ymax= uprHR)
  
  ggplot(Mean_HR, 
  aes(x=season, 
  y= Mean_HR, 
  colour=season, 
  shape= season)) + 
  geom_point( size = 6, alpha = 0.5)+
  facet_grid(sex ~ treatment+time)+
  geom_errorbar(limitsHR, width = 0.1, col = 'red', alpha = 0.8)+
  theme_bw()
  </code></pre>
  
  <p>As requested, the dput(Mean_HR) output is the following:</p>
  
  <blockquote>
    <p>dput(Mean_HR)
    structure(list(season = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L), .Label = c("Early_dry", "Late_dry", "Wet"), class = "factor"), 
        treatment = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
        1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L
        ), .Label = c("C", "E"), class = "factor"), sex = structure(c(1L, 
        1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 
        1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L), .Label = c("F", "M"), class = "factor"), 
        time = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
        1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("A", 
        "B"), class = "factor"), mean_HR = c(141.594090181, 138.327188493, 
        509.287443507692, 345.296845642381, 157.634028930833, 184.202160663125, 
        252.464096340667, 255.078012825, 59.8485325981818, 143.158189516522, 
        439.990400912593, 175.410885601333, 221.338774452381, 100.942251723636, 
        127.961533612727, 167.199563142143, 120.60363022375, 142.351764574211, 
        249.03854219, 330.018734301176, 123.992902995714, 219.886321226667, 
        307.869373359167, 296.019550844286), se_HR = c(18.6245437612391, 
        29.2548378154774, 127.987824704623, 78.9236194797204, 20.8897993194466, 
        43.1314245224751, 57.6327505533691, 32.1129054260719, 9.383853530199, 
        38.7678333459788, 130.348285186224, 31.707304307485, 29.1561478797825, 
        15.4038723326613, 18.1932127432015, 37.791782522185, 32.7089231722616, 
        33.2629181623941, 46.1500408067739, 88.8736578370159, 15.8046627788777, 
        36.9665360444972, 70.1560303348504, 87.1340476758794), lwrHR = c(122.969546419761, 
        109.072350677523, 381.29961880307, 266.373226162661, 136.744229611387, 
        141.07073614065, 194.831345787298, 222.965107398928, 50.4646790679828, 
        104.390356170543, 309.642115726369, 143.703581293848, 192.182626572598, 
        85.5383793909751, 109.768320869526, 129.407780619958, 87.8947070514884, 
        109.088846411816, 202.888501383226, 241.145076464161, 108.188240216837, 
        182.91978518217, 237.713343024316, 208.885503168406), uprHR = c(160.218633942239, 
        167.582026308477, 637.275268212315, 424.220465122101, 178.52382825028, 
        227.3335851856, 310.096846894036, 287.190918251072, 69.2323861283808, 
        181.9260228625, 570.338686098816, 207.118189908818, 250.494922332163, 
        116.346124056298, 146.154746355929, 204.991345664328, 153.312553396012, 
        175.614682736605, 295.188582996774, 418.892392138192, 139.797565774592, 
        256.852857271164, 378.025403694017, 383.153598520165)), class = c("grouped_df", 
    "tbl_df", "tbl", "data.frame"), row.names = c(NA, -24L), vars = list(
        season, treatment, sex), drop = TRUE, .Names = c("season", 
    "treatment", "sex", "time", "mean_HR", "se_HR", "lwrHR", "uprHR"
    ))</p>
  </blockquote>
  
  <p>Could someone help me understand this error and how to fix it in my code? Many thanks! </p>