Re: [R] bar plot with non-zero starting level

2013-05-22 Thread Xianwen Chen
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,

Re: [R] bar plot with non-zero starting level

2013-05-22 Thread Xianwen Chen
[mailto:ggpl...@googlegroups.com] On Behalf Of Xianwen Chen Sent: Monday, May 20, 2013 11:35 AM To: ggpl...@googlegroups.com Subject: Re: [R] bar plot with non-zero starting level Hi, I want to overlap two rectangular plots. Here is my code: require(ggplot2) rect_MNL_Delta

Re: [R] bar plot with non-zero starting level

2013-05-20 Thread Xianwen Chen
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,

Re: [R] bar plot with non-zero starting level

2013-05-20 Thread Jim Lemon
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 -

Re: [R] bar plot with non-zero starting level

2013-05-19 Thread Jim Lemon
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

[R] bar plot with non-zero starting level

2013-05-18 Thread Xianwen Chen
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 same coefficient from the two models.