iouraich - 1 year ago 232
R Question

# How the change line width in ggplot?

Datalink:
the data used

My code:

``````ccfsisims <- read.csv(file = "F:/Purdue University/RA_Position/PhD_ResearchandDissert/PhD_Draft/GTAP-CGE/GTAP_NewAggDatabase/NewFiles/GTAP_ConsIndex.csv", header=TRUE, sep=",", na.string="NA", dec=".", strip.white=TRUE)
ccfsirsts <- as.data.frame(ccfsisims)
ccfsirsts[6:24] <- sapply(ccfsirsts[6:24],as.numeric)
ccfsirsts <- droplevels(ccfsirsts)
ccfsirsts <- transform(ccfsirsts,sres=factor(sres,levels=unique(sres)))

library(ggplot2)

#------------------------------------------------------------------------------------------
#### Plot of food security index for Morocco and Turkey by sector
#------------------------------------------------------------------------------------------

#_Code_Begin...

datamortur <- melt(ccfsirsts[ccfsirsts\$region %in% c("TUR","MAR"), ]) # Selecting regions of interest
datamortur1 <- datamortur[datamortur\$variable %in% c("pFSI2"), ] # Selecting the food security index of interest
datamortur2 <- datamortur1[datamortur1\$sector %in% c("wht","gro","VegtFrut","osd","OthCrop","VegtOil","XPrFood"), ] # Selecting food sectors of interest
datamortur3 <- subset(datamortur2, tradlib !="BASEDATA") # Eliminating the "BASEDATA" scenario results

allfsi.f <- datamortur3
fsi.wht <- allfsi.f[allfsi.f\$sector %in% c("wht"), ]

Figure29 <- ggplot(data=fsi.wht, aes(x=factor(sres),y=value,colour=factor(tradlib)))
Figure29 + geom_line(aes(group=factor(tradlib),size=2)) + facet_grid(regionsFull~., scales="free_y", labeller=reg_labeller) + scale_colour_brewer(type = "div") +
theme(axis.text.x = element_text(colour = 'black', angle = 90, size = 13, hjust = 0.5, vjust = 0.5),axis.title.x=element_blank()) +
ylab("FSI (%Change)") + theme(axis.text.y = element_text(colour = 'black', size = 12), axis.title.y = element_text(size = 12, hjust = 0.5, vjust = 0.2)) +
theme(strip.text.y = element_text(size = 11, hjust = 0.5, vjust = 0.5, face = 'bold'))
``````

My result:

Newresult with aes(size=2):

My question:
Is there a way to control for line width more precisely to avoid the result in the second plot? I particularly find it document-unfriendly, and more so for publishing purposes to include the plot with the newly defined line width.

best,
ismail

Answer Source

Whilst @Didzis has the correct answer, I will expand on a few points

Aesthetics can be set or mapped within a ggplot call.

• An aesthetic defined within aes(...) is mapped from the data, and a legend created.

• An aesthetic may also be set to a single value, by defining it outside aes().

As far as I can tell, what you want is to set size to a single value, not map within the call to `aes()`

When you call `aes(size = 2)` it creates a variable called ``2`` and uses that to create the size, mapping it from a constant value as it is within a call to `aes` (thus it appears in your legend).

Using size = 1 (and without `reg_labeller` which is perhaps defined somewhere in your script)

``````Figure29 +
geom_line(aes(group=factor(tradlib)),size=1) +
facet_grid(regionsFull~., scales="free_y") +
scale_colour_brewer(type = "div") +
theme(axis.text.x = element_text(
colour = 'black', angle = 90, size = 13,
hjust = 0.5, vjust = 0.5),axis.title.x=element_blank()) +
ylab("FSI (%Change)") +
theme(axis.text.y = element_text(colour = 'black', size = 12),
axis.title.y = element_text(size = 12,
hjust = 0.5, vjust = 0.2)) +
theme(strip.text.y = element_text(size = 11, hjust = 0.5,
vjust =    0.5, face = 'bold'))
``````

and with size = 2

`````` Figure29 +
geom_line(aes(group=factor(tradlib)),size=2) +
facet_grid(regionsFull~., scales="free_y") +
scale_colour_brewer(type = "div") +
theme(axis.text.x = element_text(colour = 'black', angle = 90,
size = 13, hjust = 0.5, vjust =
0.5),axis.title.x=element_blank()) +
ylab("FSI (%Change)") +
theme(axis.text.y = element_text(colour = 'black', size = 12),
axis.title.y = element_text(size = 12,
hjust = 0.5, vjust = 0.2)) +
theme(strip.text.y = element_text(size = 11, hjust = 0.5,
vjust = 0.5, face = 'bold'))
``````

You can now define the size to work appropriately with the final image size and device type.

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