>> You have continuous variables on x so I used scale_x_continuous for
> >> changing the ticks and adding labels. You can modify angle, size, etc
> with
> >> theme.
> >>
> >>
> >> rect_MNL_Delta<- data.frame(
> >> xmin = c(1, 3
Hi Jim,
Thank you very much. I have started another conversation in the ggplot
list. My current code is
plot_data <- data.frame(
xmin = c(1, 1.5, 3, 3.5, 5, 5.5, 7, 7.5, 9, 9.5, 11, 11.5, 13, 13.5)
, ymin = c(16.7026, 17.20, 14.9968, 16.32, 16.0630, 15.86, 17.7510, 18.12,
-5.01694, -8.86, -.44
On 05/21/2013 12:54 AM, Xianwen Chen wrote:
Hi Jim,
Thank you for the suggestion. I think overlapped rectangles will well
present the message. I'm now trying ggplot2.
Here is the code:
require(ggplot2)
rect_MNL_Delta <- data.frame(
xmin <- c(1, 3, 5, 7, 9, 11, 13),
xmax <- xmin + 1,
ymin <- c(
Hi Jim,
Thank you for the suggestion. I think overlapped rectangles will well
present the message. I'm now trying ggplot2.
Here is the code:
require(ggplot2)
rect_MNL_Delta <- data.frame(
xmin <- c(1, 3, 5, 7, 9, 11, 13),
xmax <- xmin + 1,
ymin <- c(16.7026, 14.9968, 1
On 05/19/2013 09:19 AM, Xianwen Chen wrote:
Hi,
I want to plot grouped bars to compare 95% confidence interval estimates
from two models. Each bar represents a 95% confidence interval estimate
of a coefficient from one of the two models. Each group represents
confidence interval estimates of the
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