Fixing the order of facets in ggplot

Question

Data  df  lt - data frame      type     c  quot T quot    quot F quot    quot P quot    quot T quot    quot F quot    quot P quot    quot T quot    quot F quot    quot P quot    quot T quot    quot F quot    quot P quot         size     c  quot 50  quot    quot 50  quot    quot 50  quot    quot 100  quot    quot 100  quot    quot 100  quot    quot 150  quot    quot 150  quot    quot 150  quot    quot 200  quot    quot 200  quot    quot 200  quot        amount   c 48 4  48 1  46 8  25 9  26  24 9  21 1  21 4  20 1  20 8  21 5  16 5     I need to plot a bargraph of the above data using ggplot  x-axis - gt  type  y-axis - gt  amount  group by size   When I used the following code  I am not getting the variable type and as well as size in the order shown in the data  Please see the figure  I have used the following code for that   ggplot df  aes type  amount   fill type  group type  shape type  facets size        geom col width 0 5  position   position dodge width 0 6        facet grid   size       theme bw        scale fill manual values   c  quot darkblue quot   quot steelblue1 quot   quot steelblue4 quot                         labels   c  quot T quot    quot F quot    quot P quot        For fixing the order issue  I have used a factor method for the variable  quot type quot  using the following  Please see the figure also  temp new   factor temp type  levels c  quot T quot   quot F quot   quot P quot    labels c  quot T quot   quot F quot   quot P quot       However  now I don t know how to fix the order for the variable size  It should be 50   100   150   and 200

User · Answer

There are a couple of good solutions here.

Similar to the answer from Harpal, but within the facet, so doesn't require any change to underlying data or pre-plotting manipulation:

# Change this code:
facet_grid(.~size) + 
# To this code:
facet_grid(~factor(size, levels=c('50%','100%','150%','200%')))

This is flexible, and can be implemented for any variable as you change what element is faceted, no underlying change in the data required.

User · Answer

Here s a solution that keeps things within a dplyr pipe chain  You sort the data in advance  and then using mutate at to convert to a factor  I ve modified the data slightly to show how this solution can be applied generally  given data that can be sensibly sorted      the data temp  lt - data frame type rep c  T    F    P    4                       size rep c  50     100     200     150     each 3     cannot sort this                     size num   rep c  5  1  2  1 5   each 3     can sort this                     amount c 48 4  48 1  46 8                                25 9  26 0  24 9                               20 8  21 5  16 5                               21 1  21 4  20 1    temp   gt      arrange size num    gt     sort   mutate at vars size   funs factor    levels unique         gt     convert to factor    ggplot        geom bar aes x   type  y amount  fill type               position  dodge   stat  identity        facet grid   size    You can apply this solution to arrange the bars within facets  too  though you can only choose a single  preferred order       temp   gt      arrange size num    gt     mutate at vars size   funs factor    levels unique         gt     arrange desc amount     gt     mutate at vars type   funs factor    levels unique         gt     ggplot        geom bar aes x   type  y amount  fill type               position  dodge   stat  identity        facet grid   size      ggplot        geom bar aes x   type  y amount  fill type               position  dodge   stat  identity        facet grid   size

User · Answer

Make your size a factor in your dataframe by   temp size f   factor temp size  levels c  50    100    150    200       Then change the facet grid   size  to facet grid   size f   Then plot    The graphs are now in the correct order

[r] Fixing the order of facets in ggplot

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