Hi Glenn,
I don't understand what you are after. If I run your code I get two figures to
the right of the decimal point. Can you give us an example of the layout you
want? Clearly I am missing the point.
Note I removed the palate command from the code,
ggplot(SwapCurve, aes(x = Tenor, y= Rate/100, colour = #E69F00)) +
geom_line() +
geom_line(size = 1.5) +
ylab(Fixed Rate Payer Side) +
xlab(Maturity (years)) +
theme_minimal()+
theme(panel.grid.major = element_line(size = .25, color = grey)) +
theme(axis.text = element_text(size = 15)) +
theme(axis.title = element_text(size = 20)) +
theme(legend.text=element_text(size= 15))
John Kane
Kingston ON Canada
-Original Message-
From: glennmschu...@me.com
Sent: Sat, 25 Jul 2015 22:52:07 + (GMT)
To: r-help@r-project.org
Subject: [R] ggplot percent format for interest rates
Hello All,
The data is as follows below with ggplot command. I would like there to
be two digits to the right of the decimal on the y axis - this would be
consistent with plotting interest rates. I have not had much luck. Any
ideas are appreciated
-glenn
structure(list(Tenor = c(0, 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), Rate = c(0.226560966039639, 0.34, 0.44, 0.58, 0.79,
1.05, 1.30483402347606, 1.54, 1.7472935509309, 1.92899362434552,
2.09, 2.23452744367452, 2.36405066524527, 2.47935936061244,
2.58124322567624,
2.67049195633686, 2.7478952484945, 2.81424279804937, 2.87032430090165,
2.91692945295155, 2.95484795009927, 2.984869488245, 3.00778376328894,
3.0243804711313, 3.03544930767227, 3.04177996881204, 3.04416215045082,
3.04338554848881, 3.04023985882621, 3.0355147773632, 3.03)), .Names =
c(Tenor,
Rate), row.names = c(NA, -31L), class = data.frame)
ggplot(SwapCurve, aes(x = Tenor, y= Rate/100, colour = #E69F00)) +
geom_line() +
geom_line(size = 1.5) +
ylab(Fixed Rate Payer Side) +
xlab(Maturity (years)) +
theme_minimal()+
theme(panel.grid.major = element_line(size = .25, color = grey)) +
scale_colour_manual(values = cbbPalette, guide = FALSE) +
#scale_y_continuous(labels = percent)+
theme(axis.text = element_text(size = 15)) +
theme(axis.title = element_text(size = 20)) +
theme(legend.text=element_text(size= 15))
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