I am a beginner to R and have the following correlation table (this is it in its entirety):
Master_Correlation:
Correlation to Hours Worked Explanatory Variable Race
1: -0.0045128223 forborn white
2: 0.0323171103 numchild white
3: -0.1504050423 female numchild interaction white
4: -0.2511609551 female white
5: -0.0383993120 hs white
6: -0.0571333231 somecol white
7: 0.0266860952 college white
8: 0.0859899460 advanced white
9: 0.1392112264 rw white
10: 0.0273427376 rw squared white
11: -0.0207199322 forborn black
12: -0.0008369800 numchild black
13: -0.0979065820 female numchild interaction black
14: -0.1678122716 female black
15: -0.0584001709 hs black
16: -0.0342631733 somecol black
17: 0.0585449347 college black
18: 0.0987732746 advanced black
19: 0.1461246589 rw black
20: 0.0348695563 rw squared black
21: -0.0208368904 forborn hispanic
22: 0.0174493239 numchild hispanic
23: -0.1635641693 female numchild interaction hispanic
24: -0.2438919429 female hispanic
25: -0.0076820903 hs hispanic
26: -0.0337691135 somecol hispanic
27: 0.0376874627 college hispanic
28: 0.0841707245 advanced hispanic
29: 0.1515369812 rw hispanic
30: 0.0637695725 rw squared hispanic
31: -0.0274184696 forborn asian
32: 0.0159808674 numchild asian
33: -0.1081184916 female numchild interaction asian
34: -0.1676908858 female asian
35: -0.0576837324 hs asian
36: -0.0608660949 somecol asian
37: -0.0007628678 college asian
38: 0.1181154823 advanced asian
39: 0.1467355792 rw asian
40: 0.0786165669 rw squared asian
41: -0.0106969158 forborn other
42: 0.0241509708 numchild other
43: -0.1370435450 female numchild interaction other
44: -0.1869553011 female other
45: -0.0391851362 hs other
46: -0.0134763887 somecol other
47: 0.0544616829 college other
48: 0.0602647172 advanced other
49: 0.2082363589 rw other
50: 0.1210709059 rw squared other
Notice that I have 5 races, and each race has a correlation observation associated with 10 explanatory variable. My objective is to make a bar plot where the x-axis is the names of the 10 explanatory variables that has 5 bars corresponding to the observation of each race. I tried the following but what prints is a blank graph. Any help (especially feedback telling me why this didn't work so I can get better at coding) is greatly appreicated!
ggplot(Master_Correlation, aes(x= `Explanatory Variable`, y= `Correlation to Hours Worked`,
fill= Race))
Data:
structure(list(`Correlation to Hours Worked` = c(-0.0045128223,
0.0323171103, -0.1504050423, -0.2511609551, -0.038399312, -0.0571333231,
0.0266860952, 0.085989946, 0.1392112264, 0.0273427376, -0.0207199322,
-0.00083698, -0.097906582, -0.1678122716, -0.0584001709, -0.0342631733,
0.0585449347, 0.0987732746, 0.1461246589, 0.0348695563, -0.0208368904,
0.0174493239, -0.1635641693, -0.2438919429, -0.0076820903, -0.0337691135,
0.0376874627, 0.0841707245, 0.1515369812, 0.0637695725, -0.0274184696,
0.0159808674, -0.1081184916, -0.1676908858, -0.0576837324, -0.0608660949,
-0.0007628678, 0.1181154823, 0.1467355792, 0.0786165669, -0.0106969158,
0.0241509708, -0.137043545, -0.1869553011, -0.0391851362, -0.0134763887,
0.0544616829, 0.0602647172, 0.2082363589, 0.1210709059), `Explanatory Variable` = c("forborn",
"numchild", "female numchild interaction", "female", "hs", "somecol",
"college", "advanced", "rw", "rw squared", "forborn", "numchild",
"female numchild interaction", "female", "hs", "somecol", "college",
"advanced", "rw", "rw squared", "forborn", "numchild", "female numchild interaction",
"female", "hs", "somecol", "college", "advanced", "rw", "rw squared",
"forborn", "numchild", "female numchild interaction", "female",
"hs", "somecol", "college", "advanced", "rw", "rw squared", "forborn",
"numchild", "female numchild interaction", "female", "hs", "somecol",
"college", "advanced", "rw", "rw squared"), Race = c("white",
"white", "white", "white", "white", "white", "white", "white",
"white", "white", "black", "black", "black", "black", "black",
"black", "black", "black", "black", "black", "hispanic", "hispanic",
"hispanic", "hispanic", "hispanic", "hispanic", "hispanic", "hispanic",
"hispanic", "hispanic", "asian", "asian", "asian", "asian", "asian",
"asian", "asian", "asian", "asian", "asian", "other", "other",
"other", "other", "other", "other", "other", "other", "other",
"other")), row.names = c(NA, -50L), class = c("tbl_df", "tbl",
"data.frame"))
CodePudding user response：
OP, you're almost there. You've setup the plot area and environment with all the necessary mapping (i.e. what is x, y, and what corresponds to the fill color). The problem is that you haven't told ggplot that you want to draw something!. In ggplot terms, that means specifying a geom.
In this case, you have y and x values, so you want a "column" plot (strictly-speaking), and not a "bar" plot (which needs a list of x values). Just add geom_col() to your code. Try this:
ggplot(Master_Correlation, aes(x=`Explanatory Variable`, y=`Correlation to Hours Worked`, fill= Race))
geom_col()
That will draw the columns, but the default way to display columns of different color that share the same x value is to "stack" them on top of each other. In order to make sure they split horizontally according to the Race column in your data, you need to tell the geom to split. This is what is referred to as "dodging" in the ggplot lingo. In that case, this should work:
ggplot(Master_Correlation, aes(x=`Explanatory Variable`, y=`Correlation to Hours Worked`, fill= Race))
geom_col(position=position_dodge())
CodePudding user response：
The reason you are missing the bars is that you do not have assigned a geom.
library(ggplot2)
gggplot(Master_Correlation, aes(x=Explanatory.Variable, y= Correlation.to.Hours.Worked,
fill= Race))
geom_col()
data:
structure(list(Correlation.to.Hours.Worked = c(-0.0045128223,
0.0323171103, -0.1504050423, -0.2511609551, -0.038399312, -0.0571333231,
0.0266860952, 0.085989946, 0.1392112264, 0.0273427376, -0.0207199322,
-0.00083698, -0.097906582, -0.1678122716, -0.0584001709, -0.0342631733,
0.0585449347, 0.0987732746, 0.1461246589, 0.0348695563, -0.0208368904,
0.0174493239, -0.1635641693, -0.2438919429, -0.0076820903, -0.0337691135,
0.0376874627, 0.0841707245, 0.1515369812, 0.0637695725, -0.0274184696,
0.0159808674, -0.1081184916, -0.1676908858, -0.0576837324, -0.0608660949,
-0.0007628678, 0.1181154823, 0.1467355792, 0.0786165669, -0.0106969158,
0.0241509708, -0.137043545, -0.1869553011, -0.0391851362, -0.0134763887,
0.0544616829, 0.0602647172, 0.2082363589, 0.1210709059), Explanatory.Variable = c(" forborn",
" numchild", "fmale numchild interaction", " female",
" hs", " somecol", " college",
" advanced", " rw", " rw squared",
" forborn", " numchild",
"female numchild interaction", " female",
" hs", " somecol",
" college", " advanced",
" rw", " rw squared",
" forborn", " numchild",
"female numchild interaction", " female",
" hs", " somecol",
" college", " advanced",
" rw", " rw squared",
" forborn", " numchild",
"female numchild interaction", " female",
" hs", " somecol",
" college", " advanced",
" rw", " rw squared",
" forborn", " numchild",
"female numchild interaction", " female",
" hs", " somecol",
" college", " advanced",
" rw", " rw squared"),
Race = c("white", "white", "white", "white", "white", "white",
"white", "white", "white", "white", "black", "black", "black",
"black", "black", "black", "black", "black", "black", "black",
"hispanic", "hispanic", "hispanic", "hispanic", "hispanic",
"hispanic", "hispanic", "hispanic", "hispanic", "hispanic",
"asian", "asian", "asian", "asian", "asian", "asian", "asian",
"asian", "asian", "asian", "other", "other", "other", "other",
"other", "other", "other", "other", "other", "other")), class = "data.frame", row.names = c("1:",
"2:", "3:", "4:", "5:", "6:", "7:", "8:", "9:", "10:", "11:",
"12:", "13:", "14:", "15:", "16:", "17:", "18:", "19:", "20:",
"21:", "22:", "23:", "24:", "25:", "26:", "27:", "28:", "29:",
"30:", "31:", "32:", "33:", "34:", "35:", "36:", "37:", "38:",
"39:", "40:", "41:", "42:", "43:", "44:", "45:", "46:", "47:",
"48:", "49:", "50:"))