Different Column Colors for BarPlot-CodePudding

I'm trying to plot a bar plot for a dataset, and for every different column, I want a different color and different space (starting point) on the X-Axis.

My data which I'm trying to plot is:

MEs_interest<-structure(c(-0.167883113654055, -0.0109845487812259, -0.246272322275879, 
-0.155118397135028, -0.187094786264526, -0.208897816323153, 0.00918849047141923, 
0.0660987731811726, -0.179682091342798, 0.0361927428937938, -0.168337427405039, 
-0.0872997940891031, 0.0487147246178567, -0.104997421215032, 
-0.166612765418889, -0.27972731849213, -0.269614736192796, -0.218686589132102, 
0.0186266000013494, -0.115752853428279, -0.234180322169165, -0.234468472122879, 
0.0853896953163215, -0.119401273395233, -0.233526198026173, -0.144933683751518, 
-0.0333872077870683, -0.126075081839166, 0.0234495180825954, 
-0.00281266281371647, 0.0445651510989791, 0.0630320836892592, 
0.0436234416845773, -0.0886151219175411, 0.0298035200365961, 
0.0349886112765651, 0.0517249448636533, 0.0517072886417856, 0.00174466699335717, 
0.0733810433264405, 0.0410509459270766, 0.0676557513817245, -0.0269596623935842, 
-0.00820936337881583, 0.02522810021815, 0.00267203913812894, 
0.0404411696230505, 0.00778308464809111, 0.0710350653753223, 
0.0197690169067339, 0.0751746632072388, 0.0426872422402503, 0.0340506853594921, 
0.0570951395009317, -0.063904515361206, 0.0301134757558089, 0.037721725722185, 
0.0379028470477037, -0.0501512877980435, 0.0146458018254246, 
0.0169104778681714, 0.0166020210546553, 0.0335133220130473, 0.0799952315650975, 
0.0597261261615782, 0.0502931924476911, 0.0660898397511455, 0.0623527359020107, 
0.0612670838013991, 0.0485127009937002, 0.0296422363306305, 0.0226549968931128, 
0.0421866386276217, 0.033689420608973, 0.0143707938725627, 0.0323944782266678, 
-0.0561065303680797, 0.0159055854831309, 0.029253749717009, -0.0188670612502005, 
0.0112972253615203, -0.06431052412551, 0.0250462802314866, 0.0107992194569716, 
0.0299356337755449, -0.0193161442678109, 0.0233907157277332, 
-0.000479152834915138, -0.0275571300272356, 0.0071482643104301, 
0.0155501629833139, 0.0549486042057134, -0.0295269190699637, 
0.0147591225770697, 0.048859572538863, 0.0462742967694186, 0.0401945677460769, 
0.0582644826473239, 0.0529058823007485, 0.0396103453773642, -0.0365450591770336, 
0.0231450330174636, 0.0219066032428664, 0.0165028195038822, 0.00555260221650196, 
0.0255220214117011, 0.05972511552943, -0.00293890153218165, 0.011531281677417, 
0.00472094891522337, 0.0388412770430323, -0.00848060907412595, 
0.058765716401801, 0.0224064334838153, 0.0465432843798102, 0.0732501647564376, 
-0.0425524349691691, -0.0518826407283709, 0.0158806561591187, 
-0.0286128903565543, -0.0329442996876906, 0.0464066108874249, 
0.01520737475578, 0.0330900155692634, -0.00191481252863317, 0.0340515712165811, 
0.0415944015575292, 0.0749587114290293, 0.0425781723420161, -0.0131167918368139, 
0.0231381066250714, 0.0394491706644696, 0.0372707556665713, 0.0323661968818813, 
0.0517911455540302, 0.053642562448806, 0.0439292833520655, 0.0730670438716113, 
0.0668073402456916, 0.0522203703833991, 0.00668465079574304, 
0.0427141845252473, 0.0495655293001473, 0.017824914580245, 0.00200659539964028, 
0.0690866441367867, -0.0641030056751768, 0.0534056980949714, 
0.0290577604811227, 0.0501364340213389, 0.00914202669090587, 
0.0336902664324295, 0.071225154924611, -0.0136941200949208, -0.0905757581741776, 
0.0213335707173911, 0.0390943141984785, 0.0691204593738523, 0.00632451878190229, 
0.0416548662739056, 0.0591526594907932, 0.0447283941459729, 0.0180087273178382, 
-0.0463838936951452, 0.0115655451783892, 0.0520568642113286, 
0.0653710224456479, -0.00716286684528034, 0.0471983662611778, 
0.0042252235615105, 0.00881814031121959, -0.100329095271737, 
-0.0784894235648148, -0.0879486442773462, -0.0995049018784005, 
-0.0714818317916746, -0.0976149187829668, 0.159506068630208, 
-0.0078547447048395, -0.0919187341851776, -0.0183352208123751, 
-0.0802716031327569, -0.0921892597579533, 0.122475915845315, 
-0.105142453664124, -0.107464669408259, -0.0838230654624859, 
-0.0643026477240475, -0.0991970944971272, -0.0299497021490766, 
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-0.0643787771622208, 0.0801655887182166, 0.191116104423863, 0.0385780808096827, 
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-0.0274833085774418, 0.0347139023608301, -0.021691394476451, 
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It has six columns so I'm expecting 6 different sets of column colors.

An example of what I'm expecting can be found in the below image:

Similarly, I want every column to begin at different points on the X-axis. The above example just has two columns, but mine has six so I shall be getting six bar-plot colours.

CodePudding user response：

You have far too many values in each group for an effective bar graph. The example image has 44 distinct bars and is already a little crowded. Your data has over 1000 values, meaning you have to fit over 1,000 columns across your plot, so they will only get 1 or 2 pixels each even at a large resolution.

In case you still find this useful, you could do:

MEs_interest %>%
  as.data.frame() %>%
  rownames_to_column(var = "x") %>%
  pivot_longer(-1) %>%
  ggplot(aes(name, value, group = x, fill = name))  
  geom_col(position = "dodge")  
  scale_fill_identity()

A better way to represent such dense data would be with some kind of summary plot, such as a boxplot, or violin plot, or both:

MEs_interest %>%
  as.data.frame() %>%
  rownames_to_column(var = "x") %>%
  pivot_longer(-1) %>%
  ggplot(aes(name, value, fill = name))  
  geom_boxplot(fill = NA)  
  geom_violin(alpha = 0.5)  
  scale_fill_identity()  
  theme_light(base_size = 20)