Erstellen von Boxplots mit einer kontinuierlichen X-Achse in R?

Question

Ich möchte einen Boxplot in R machen, in dem die x-Achse kontinuierlich ist. Und ich möchte jede Zeile (Beispiel) als separates Boxplot behandeln. Daher sollten Samples mit unterschiedlichem Alter nicht zusammen gruppiert werden! Wie mache ich das?

Dies ist eine Teilmenge der Daten:

df <- structure(list(X1 = c(67.0785968921204, 45.5968692796599, 36.9528452430474, 
59.0160838607585, 50.0432724395945, 44.3381091105162, 57.9705240678336, 
52.5298724133533, 62.0004216014734, 54.1111551461596), X2 = c(66.4508598009841, 
46.9692156851792, 37.1419457255043, 60.0582991817961, 50.7717368681294, 
44.6962314013419, 57.5490276313784, 52.6394305113891, 62.9297233041122, 
56.8151766642767), X3 = c(66.4517425831512, 46.2946539468733, 
36.5946733567535, 59.2477934854157, 49.1558840130484, 44.7507905380111, 
59.1132983272444, 53.710627728232, 61.7923277906642, 57.5999862897015 
), X4 = c(66.1516449763315, 45.4660590159847, 37.2239262718906, 
59.2975530712561, 50.2546321578291, 44.7220452966667, 59.8879656465763, 
52.321734919241, 62.0802304973764, 56.6507005349853), X5 = c(66.1810558292955, 
46.3301985628267, 36.4487743101244, 60.054119632362, 49.1593136549535, 
44.5708909518076, 58.5865142665164, 52.5527273219855, 61.3749185309236, 
54.1823379401272), X6 = c(65.9530929286517, 45.5120010675769, 
36.7924160587984, 58.9428613519645, 50.3412809263164, 44.9671678827697, 
57.8718260182012, 51.8954544252633, 62.0173019998447, 56.3833840769146 
), X7 = c(66.3862581408135, 46.5872469340431, 36.7585555977493, 
58.1374309578563, 50.3399735165261, 44.5739565876491, 57.5245695195136, 
52.7613488669329, 61.2500297922529, 55.9202360622414), X8 = c(67.5577910713347, 
46.1891742544371, 36.4689522649804, 59.5271358261971, 49.6776114214636, 
44.1995317742719, 58.4881363877987, 52.1946266979144, 62.1149998459759, 
55.3748655464147), X9 = c(66.3943390258844, 45.843835703738, 
37.3485122393333, 59.8591304277037, 49.387883195468, 44.4283817056918, 
58.1874530826789, 53.5091378916001, 62.1187451212786, 55.3632760142297 
), X10 = c(66.9748072219828, 46.20735965374, 36.7069272963502, 
59.5035069226904, 48.8446530329762, 44.8753686249692, 58.0223695284058, 
53.2732448917674, 61.2509571513, 54.9615424261546), age = c(55, 
37, 31, 59, 49, 47, 69, 68, 69, 66)), .Names = c("X1", "X2", 
"X3", "X4", "X5", "X6", "X7", "X8", "X9", "X10", "age"), row.names = c("GSM1051533_7800246024_R03C02", 
"GSM1051534_7800246024_R04C02", "GSM1051535_7800246024_R05C02", 
"GSM1051536_7800246024_R06C02", "GSM1051537_7800246085_R01C01", 
"GSM1051538_7800246085_R02C01", "GSM1051539_7800246085_R03C01", 
"GSM1051540_7800246085_R04C01", "GSM1051541_7800246085_R05C01", 
"GSM1051542_7800246085_R06C01"), class = "data.frame") 

Answer 1

Wenn ich das richtig verstanden:
Ich drehe die rownames in die erste Spalte

library(data.table) 
setDT(df, keep.rownames = TRUE)[] 

Dann schmelzen es mit reshape2

library(reshape2) 
df=melt(df,id.vars=c("rn","age")) 

Und plotten Sie es mit ggplot2

library(ggplot2) 
ggplot(df,aes(x=age,y=value,group=rn))+geom_boxplot()