Grouped Frequency distribution plot in R -


I have species of rows and plant species with species of butterflies, which they can do in different columns Feed. I tried to get a frequency plan in R but faced problems in the script. Although I could have done this plot and excel in SPSS. I want to use R for this special set. Thank you very much in advance.

My dataset belongs to the following form. 

  Butterfly species #host family # host generation #hole species 1 xxxxxxxxx xx xx xx 2 xxxxxxxxx xx xx xx ...   
 this will really be useful If someone can help me with the script for this :)   
 
 
 As a comment, you will receive a copy Post the presentable examples. It assumes that there is a line in per butterfly species.  
  # Generate copy-generating example set.seed (1) df & lt; - data.frame (butterfly = letterer [1:10], family = sample (1: 20,10, replacement = t), genera = sample (1: 20,10, replacement = t), species = sample (1: 20,10, Change = T)) Library (GG Plot 2) Library (Recipr 2) GG and LT; Name = "Freq", variable .name = "type") GG Plot (GG, AES (X = butterfly, Y = Freak, fill = type)) + geom_bar (stat) - Melt (DF, id = "butterfly", value. = "identity") + facet_grid (type ~.)   
 You're one thing (Without aspects), but IMO is very less obvious. </ P> <pre> <code> ggplot (gg, aes (x = butterfly, y = freak, fill = type)) + GOm_bar (state =   
   
  edited  
 Then we have data, many are options - all of which are variations on a theme, since the names of the butterfly family are long, we rotate the label Can be:  
  df <- structure (list (butterfly_fill = structure (C (4L, 5L, 3L, 6L, 2L, 1L), .lL = C (13 L, 15 L, 55 L, 1 L, C), C ("Hesperidae", "Lancenidae", "Naphalidae", "Pappilionidae", "Pieradiade", "Reiodinidae"), class = "Factors" 55 L, 33 L), Jane Interpretation = C (50 L, 42 L, 21 9 L, 2 L, 148 L, 97 L), species = C (88 L, 79 L, 307 L, 2 L, 233 L, 137 L)). Name = C ("Butterfly_full", "Family", "Geneara", "Species"), Class = "Data.frame", Line.Name = C (NA, -6L)) GG & lt; - gigplot (gg, aes (x = butterfly_family, y = freq, fill = type)) - geom_bar (stat = id = "butterfly_family", value name = "freq", variable.name = "type") "Identity") + theme (axis.text.x = element_text (angle = -90, vz: = 0.2)) + facet_grid (type ~.)   
   
   
 In the end, we can rotate the graph and change the aspects from row-to-column to column-wise.   ggplot (gg, aes (x) =) Butterfly_Family, y = Freq, fill = Type)) + geom_bar (stat = "identity") + coord_flip () + facet_grid (. Type)

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