How to a for loop to plot data as boxplots grid (4x3) in R?-CodePudding

I'm working on this datasets

head(dput(df_join))
structure(list(ID = c("01", "01", "01", "04", "04", "04", "06", 
"06", "06", "07", "07", "07", "08", "08", "08", "09", "09", "09", 
"10", "10", "10", "11", "11", "11", "12", "12", "12", "13", "13", 
"13", "15", "15", "15", "16", "16", "16", "17", "17", "17", "18", 
"18", "18", "19", "19", "19", "21", "21", "21", "22", "22", "22", 
"23", "23", "23", "25", "25", "25", "27", "27", "27", "28", "28", 
"28", "30", "30", "30", "44", "44", "44", "46", "46", "46", "49", 
"49", "49"), GR = c("RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", "RP", 
"RP", "RP"), SES = c("V", "V", "V", "V", "V", "V", "V", "V", 
"V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", 
"V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", 
"V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", 
"V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", 
"V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", 
"V", "V"), COND = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 
3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 
2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 
3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 
1L, 2L, 3L), .Label = c("NEG-CTR", "NEG-NOC", "NEU-NOC"), class = "factor"), 
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    4.70492544977759, 12.1173859570715, 1.04588866129981, -3.27424811388479, 
    3.17906097432267, -0.737029533303028, -0.548079192716476, 
    4.61956745266038, 2.83406431170166, -2.03662250850588, -1.04583230182887, 
    -4.10197843548265, 1.74578985593211, 0.337182270006865, 1.0088582830766, 
    4.7071611424039, 2.91357065338633, 3.41865997847206, 0.112840808931107, 
    3.65320446800974, 1.68471621974079, -1.0319619837514, -1.20400880603756, 
    -0.36155713377909, -3.37172556803734, -4.73982223428082, 
    0.276424687829489, 5.00204428574547, 2.59240054429885, 1.76823718363874, 
    2.89875624368901, 3.26725194423518, 1.68068636794087, 5.10788499683596, 
    10.9438273543919, 8.57093653637002, 4.13801289432792, -0.0919103435752493, 
    7.14602235806343, 0.951033896893375, -3.50828531999296, -0.245809508894366, 
    3.74570635774348, 3.35958383952017, 0.585956207256955, -0.953752628300353, 
    0.198016547101522, -1.52627773487111, -2.5380125964518, -3.87040246779716, 
    -3.39003001417816, -0.0562425891448048, -1.93150124231358, 
    0.14533441948593, -6.30600497325119, -4.05937234925567, -5.38510065662888, 
    3.42195795553968, 4.06645814493399, 1.56160375018352), LPP2Cz = c(2.96437294922766, 
    -2.12913230708907, 2.94619035115619, 3.44844607014521, 3.02403433835637, 
    4.7045767546583, -0.119440173019054, 0.668265457194833, -0.405630185540259, 
    7.32640154038155, 6.75063445570149, 1.59973104216962, 0.716894061961362, 
    1.15587576192688, -0.0113614476558772, 6.44896958389742, 
    10.5178519351064, 3.79329103591037, -0.881527211868382, 4.99936090838488, 
    0.547336389166803, 0.914180881345654, 4.57223746317305, 0.544379787211248, 
    2.10232992003589, 0.364087929362296, -2.01625839730052, 2.92045510618672, 
    0.589250314392448, 2.47669253216776, 3.8646810953732, 1.39548469719622, 
    3.99379121188326, -2.43380575479143, 3.55543459632094, 1.8064338549701, 
    1.32843479186238, 0.998168707936746, 2.22142205600503, -2.57872703851591, 
    -2.47010661770972, 3.56904822058867, 6.29976121968667, 4.17893812674545, 
    2.05354063483883, 2.80516686935069, 5.94481009988668, 2.24420650476028, 
    3.87077739797244, 7.51898916194332, 8.04385138833399, -0.837752514082802, 
    -0.472475810660207, 3.94854087847063, 1.42192692667874, 0.41259599596416, 
    -1.26656454994214, 3.70559987919106, 4.95053154685134, 1.54527082821889, 
    -2.35132492869438, 1.27825568281823, -1.87474139426298, -4.61839904975041, 
    -2.75088839785752, -4.54674069848035, 0.707894602445896, 
    -2.39741431959044, 1.06029338143336, -4.65014144483362, -3.37506398767823, 
    -4.32939541342964, 3.99189974753945, 5.66199164861177, 3.38297407425817
    ), LPP2Pz = c(6.28027312932027, 5.24535230966772, 7.68162285335806, 
    1.08242973465635, 2.99896314000211, 5.36085942954182, 1.22060069796986, 
    0.43007709818575, 0.476667611076957, 8.73650967214853, 7.20593389743811, 
    4.57722295263921, -1.33620384654018, -1.28885901608471, -0.547579465083117, 
    8.11715753014206, 13.3060153720352, 2.03237948843614, 2.88799699943079, 
    5.57921718107867, 0.224312643096751, -1.35508717090199, 5.24004334238142, 
    -0.524427185444798, 9.53009273459153, 5.96824937367958, 0.354581513905486, 
    3.75491412513142, 1.62293479252637, 1.13298849399454, 1.3038251300445, 
    2.21921258546698, -0.982935199970812, -0.87603278792859, 
    4.07313151833664, 2.67697914555442, 2.01133614153975, 0.713386363228727, 
    1.82011380148253, -2.14054013397946, -2.91688430317331, 3.4064978775436, 
    6.970012019096, 4.8346929061964, 4.05060374186422, 3.15582202707403, 
    6.30033458860474, 1.54086695776033, 4.70486363207892, 7.02302307690502, 
    4.86622757700525, 0.519683704125285, 3.22734666260273, 2.66173787497657, 
    -1.38695689767217, -1.01240056675658, -2.24262472628189, 
    6.00477421965019, 4.20438929142231, 1.13798685231667, -0.897086547028692, 
    2.0228708306979, -0.589472259038692, -0.204119654251134, 
    1.34241259142242, 1.9188582401756, 3.75503694959562, 2.11369999794381, 
    2.2112162248386, -2.7719104342547, -3.28212379920159, -2.66041249378004, 
    4.4514507366784, 8.01351241284005, 8.18987741895779)), row.names = c(NA, 
-75L), class = "data.frame")

And explorations purposes I'm trying to plot a series of boxplots, all arranged in a single grid(4x3) by using variable COND as indipendent and the following ones:

"P3FCz"      
 [6] "P3Cz"        "P3Pz"        "LPPearlyFCz" "LPPearlyCz"  "LPPearlyPz" 
[11] "LPP1FCz"     "LPP1Cz"      "LPP1Pz"      "LPP2FCz"     "LPP2Cz"     
[16] "LPP2Pz"

As indipendent variables. As I would to create the plot I described, I've been trying to modify the following code to plot the boxes one by one

for (i in 5:ncol(df_join)){
  print((ggplot(df_join, aes(x = COND, y = df_join[,i]))  
          geom_boxplot()  xlab("COND")   ylab(colnames(df_join)[i])))
  Sys.sleep(1)
}

As follows:

for (i in 5:ncol(df_join)){
  print(ggarrange(ggplot(df_join, aes(x = COND, y = df_join[,i]))  
          geom_boxplot()  xlab("COND")   ylab(colnames(df_join)[i]), ncol = 4, nrow = 3))
  Sys.sleep(1)

However, I'm keeping getting back just a series of overriden plots. How may I modify or to recode differently such lines to obtain the plot-grip(4X3) I'm interested in?

CodePudding user response：

Try pivoting and plotting with facets.

library(ggplot2)
ggplot(tidyr::pivot_longer(df_join, -c(ID, GR, SES, COND)), aes(COND, value))  
  geom_boxplot()  
  facet_wrap(~ name, nrow = 4, ncol = 3)