Switch Order of Boxplots

uvictori · March 2, 2020, 3:19pm

Hello,
I have a graph that I need to switch the order of the boxplots to be: avianpredator, terrestrialpredator, baseline, control. How do I switch the order of this?
Rplot

This is my current code:
ggplot(data= s7)+
geom_boxplot(mapping=aes(x= trial.category, y= FAD.m))+
geom_jitter(mapping=aes(x= trial.category, y= FAD.m), alpha=0.3)+
labs(title= "Rural")+
xlab("Predator Type") + ylab("FAD (m)") +
theme_classic()+
theme(plot.title=element_text(hjust=0, vjust=1, face="bold",size=18))+
theme(axis.title.x=element_text(size=14,face="bold"),axis.title.y=element_text(size=14, face= "bold"))+
theme(axis.text.x= element_text(size=12),axis.text.y=element_text(size=12))

I have already tried:
s7 %>% mutate(trial.category=factor(trial.category, levels= c("avianpredator", "terrestrialpredator", "baseline", "control"), ordered=TRUE))
ggplot(data= s7)+
geom_boxplot(mapping=aes(x= trial.category, y= FAD.m))+
geom_jitter(mapping=aes(x= trial.category, y= FAD.m), alpha=0.3)+
labs(title= "Rural")+
xlab("Predator Type") + ylab("FAD (m)") +
theme_classic()+
theme(plot.title=element_text(hjust=0, vjust=1, face="bold",size=18))+
theme(axis.title.x=element_text(size=14,face="bold"),axis.title.y=element_text(size=14, face= "bold"))+
theme(axis.text.x= element_text(size=12),axis.text.y=element_text(size=12))

mfherman · March 2, 2020, 3:46pm

Thanks for including the code you are using, but for us to help you better, can you please share a small part of the data set in a copy-paste friendly format?

In case you don't know how to do it, there are many options, which include:

If you have stored the data set in some R object, dput function is very handy.
In case the data set is in a spreadsheet, check out the datapasta package. Take a look at this link.

uvictori · March 2, 2020, 3:49pm

structure(list(Treatment = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Baseline", "Manipulation"
), class = "factor"), location = structure(c(6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L), .Label = c("County Farm Park ",
"Diag", "Nichols Arboretum", "North Campus", "Prospect Park",
"Saginaw Forest"), class = "factor"), site.category = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("rural",
"suburban", "urban"), class = "factor"), date = structure(c(9L,
9L, 9L, 9L, 9L, 9L, 9L, 17L, 17L, 17L, 17L, 17L, 1L, 1L, 4L,
13L, 15L, 1L, 4L, 15L, 4L, 13L, 15L, 1L, 4L, 4L, 15L, 13L, 1L,
13L), .Label = c("1/12/20", "1/13/20", "1/21/20", "1/22/20",
"1/25/20", "1/27/20", "10/25/19", "10/27/19", "10/28/19", "11/10/19",
"11/15/19", "11/16/19", "11/18/19", "11/22/19", "11/23/19", "11/24/19",
"11/4/19", "11/7/19"), class = "factor"), Julian.Date = c(301L,
301L, 301L, 301L, 301L, 301L, 301L, 308L, 308L, 308L, 308L, 308L,
12L, 12L, 22L, 322L, 327L, 12L, 22L, 327L, 22L, 322L, 327L, 12L,
22L, 22L, 327L, 322L, 12L, 322L), trial.type = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 8L, 8L, 10L), .Label = c("baseline",
"control A", "control B", "control C", "dog A", "dog B", "dog C",
"hawk A", "hawk B", "hawk C"), class = "factor"), trial.category = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L), .Label = c("avianpredator",
"baseline", "control", "terrestrialpredator"), class = "factor"),
human.presence = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L,
0L, 1L, 0L, 0L, 0L), dog.presence = c(1L, 1L, 1L, 1L, 1L,
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), temperature.F = c(51L,
51L, 51L, 51L, 51L, 51L, 51L, 49L, 49L, 49L, 49L, 49L, 29L,
29L, 25L, 28L, 34L, 29L, 25L, 34L, 25L, 28L, 34L, 29L, 25L,
25L, 34L, 28L, 29L, 28L), weather = structure(c(5L, 5L, 5L,
5L, 5L, 5L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 3L, 2L, 1L,
5L, 2L, 5L, 3L, 2L, 1L, 5L, 5L, 2L, 3L, 1L, 3L), .Label = c("cloudy",
"mostly sunny", "partly cloudy", "partly sunny", "sunny"), class = "factor"),
trial.start.time = structure(c(94L, 101L, 107L, 110L, 114L,
118L, 121L, 35L, 45L, 51L, 60L, 69L, 14L, 50L, 55L, 2L, 61L,
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), class = "factor"), initial.distance.m = c(22.9, 19, 11.7,
31.2, 19.3, 27.2, 15, 28.9, 37.2, 25.9, 10.6, 18.1, 11.2,
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16.4, 10.2, 20.5, 15, 22.6, 13.2, 18.3, 20.8, 23.6, 9.8,
9.8, 9.8, 15.5, 18.2, 12.6, 11.3, 20.8, 14.7, 16.2, 12.1,
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2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L), .Label = c("no",
"yes"), class = "factor"), treed.distance.total.m = c(0,
8.6, 9.7, 10.5, 0, 0, 8.9, 8, 10.1, 13.3, 6, 10.8, 0, 4.4,
7.5, 0, 5.8, 1.7, 8.1, 8.6, 10.1, 5.3, 6.1, 11.5, 0, 5.9,
8.3, 9.5, 9.5, 0), flight.distance.total.m = c(8.2, 0, 0,
0, 4, 7.5, 0, 0, 0, 0, 0, 0, 4.1, 0, 0, 3.1, 0, 0, 0, 0,
0, 0, 0, 0, 8.1, 0, 0, 0, 0, 5.1), latency.s = c(193L, 482L,
293L, 462L, 191L, 47L, 450L, 495L, 399L, 10L, 304L, 325L,
62L, 57L, 375L, 127L, 153L, 71L, 219L, 364L, 215L, 334L,
182L, 182L, 227L, 322L, 376L, 373L, 331L, 600L), squirrel.approach = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("no",
"yes"), class = "factor"), notes = structure(c(1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L), .Label = c("",
"after FAD, squirrel approached me, football weekend -ND",
"closest tree between me and squirrel, ran to branch on ground then stopped",
"construction at Kraus", "football weekend-ND", "recess ended",
"recess on playground"), class = "factor")), row.names = 142:171, class = "data.frame")

mattwarkentin · March 2, 2020, 3:57pm

You were very close with your original code:

s7 %>% mutate(trial.category=factor(trial.category, levels= c("avianpredator", "terrestrialpredator", "baseline", "control"), ordered=TRUE))

This code performs the releveling, but you need to save a copy of it. This code does not modify the input data, you need to explicitly save a copy of the releveld data (perhaps using the same name, s7).

Instead do this:

s7 <- s7 %>% mutate(trial.category=factor(trial.category, levels= c("avianpredator", "terrestrialpredator", "baseline", "control"), ordered=TRUE))

Then...

ggplot(data= s7) +
  geom_boxplot(mapping=aes(x= trial.category, y= FAD.m))+
  geom_jitter(mapping=aes(x= trial.category, y= FAD.m), alpha=0.3)+
  labs(title= "Rural")+
  xlab("Predator Type") + ylab("FAD (m)") +
  theme_classic() +
  theme(plot.title=element_text(hjust=0, vjust=1, face="bold",size=18)) + theme(axis.title.x=element_text(size=14,face="bold"),axis.title.y=element_text(size=14, face= "bold")) +
  theme(axis.text.x= element_text(size=12),axis.text.y=element_text(size=12))

uvictori · March 2, 2020, 4:01pm

Okay perfect! One last thing, how would I change the labels on the x axis? So it says "Avian Predator" instead of "avianpredator"?

mattwarkentin · March 2, 2020, 4:02pm

You can modify the scale layer by adding this to your ggplot:

scale_x_discrete(labels = c('Avian Predator', ...))

uvictori · March 2, 2020, 4:06pm

Perfect! Thank you so much!

system · March 9, 2020, 4:06pm

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