search for: yelin

Hey All, I have a dataset(dat1) like this: ObsNumber ID Weight 1 0001 12 2 0001 13 3 0001 14 4 0002 16 5 0002 17 And another dataset(dat2) like this: ID Height 0001 3.2 0001 2.6 0001

Hi R experts, For example I have a dataset looks like this: Number TimeStamp Value 1 1/1/2013 0:00 1 2 1/1/2013 0:01 2 3 1/1/2013 0:03 3 How can I split the "TimeStamp" Column into two and return a new table like this: Number Date Time Value 1 1/1/2013 0:00 1 2 1/1/2013 0:01 2 3 1/1/2013 0:03 3 Thank! [[alternative HTML version

Hey, Is it possible that R can calculate each options under each column and return a summary table? Suppose I have a table like this: Gender Age Rate Female 0-10 Good Male 0-10 Good Female 11-20 Bad Male 11-20 Bad Male >20 N/A I want to have a summary table including the information that how many answers in each category, sth like this: X

Hi All, whenever I open R using the shortcut on desktop, there are 2 active datasets in the workspace, I tried to start the program from Start menu, same thing!! How can I delete these two active datasets and make sure whenever I restart the program, they wont appear? Thanks! [[alternative HTML version deleted]]

Hey All, I have a large dataset and I want to calculate the average of each column then return a new dataset. Here is my question: I dont know if there is a function that can allow me to calculate the average every 60 records of data in the whole dataset, and return a new data frame. Not sure if I have to divide the dataset first for every 60, then do the mean or can i directly do that. thanks

I want to add identifier column (Date) to a time series data frame. I want to name the "Date" column be from 1 to 30 every 1440 rows. Say I have a data like this (I simply my actual data here): $dat ID Var 1 1 2 4 3 6 4 7 5 7 6 8 How can I add identifier column (Date) from 1 to 3 every 2 rows and have output like this: ID

Hi, I want to plot two variables on the same graph but with two y axis just like what you can do in Excel. I searched online that seems like you can not achieve that in ggplot. So is there anyway I can do it in a nice way in basic plot? Suppose my data looks like this: Weight Height Date 0.1 0.3 1 0.2 0.4 2 0.3 0.8 3 0.6 1

Hey, I have a dataset like this: ID Var1 Var2 Group A1 1 1 BB A2 1 2 AA B1 2 1 CC B2 1 3 DD C1 1 2 EE I would like to plot the points of Var1 and Var2, use "ID" as X-axis, but color the points by "Group". I can

...g@linux.intel.com> Yannick Fertre <yannick.fertre@stericsson.com> Yashpal Dutta <yashpal.dutta@freescale.com> Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> Yegor Yefremov <yegorslists@googlemail.com> Yehuda Yitschak <yehuday@marvell.com> Yen Lin <yelin@nvidia.com> Yevgeniy Melnichuk <yevgeniy.melnichuk@googlemail.com> Yevgeny Petrilin <yevgenyp@mellanox.co.il> Yevgeny Petrilin <yevgenyp@mellanox.com> Yi Zhang <yizhang@marvell.com> Yi Zou <yi.zou@intel.com> Yijing Wang <wangyijing@huawei.com> Yi...

...g@linux.intel.com> Yannick Fertre <yannick.fertre@stericsson.com> Yashpal Dutta <yashpal.dutta@freescale.com> Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> Yegor Yefremov <yegorslists@googlemail.com> Yehuda Yitschak <yehuday@marvell.com> Yen Lin <yelin@nvidia.com> Yevgeniy Melnichuk <yevgeniy.melnichuk@googlemail.com> Yevgeny Petrilin <yevgenyp@mellanox.co.il> Yevgeny Petrilin <yevgenyp@mellanox.com> Yi Zhang <yizhang@marvell.com> Yi Zou <yi.zou@intel.com> Yijing Wang <wangyijing@huawei.com> Yi...

...orin.1998@free.fr> Yannick Fertre <yannick.fertre@stericsson.com> Yashpal Dutta <yashpal.dutta@freescale.com> Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> Yegor Yefremov <yegorslists@googlemail.com> Yehuda Yitschak <yehuday@marvell.com> Yen Lin <yelin@nvidia.com> Yevgeniy Melnichuk <yevgeniy.melnichuk@googlemail.com> Yevgeny Petrilin <yevgenyp@mellanox.co.il> Yevgeny Petrilin <yevgenyp@mellanox.com> Yi Zhang <yizhang@marvell.com> Yi Zou <yi.zou@intel.com> Yijing Wang <wangyijing@huawei.com> Yi...

...orin.1998@free.fr> Yannick Fertre <yannick.fertre@stericsson.com> Yashpal Dutta <yashpal.dutta@freescale.com> Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> Yegor Yefremov <yegorslists@googlemail.com> Yehuda Yitschak <yehuday@marvell.com> Yen Lin <yelin@nvidia.com> Yevgeniy Melnichuk <yevgeniy.melnichuk@googlemail.com> Yevgeny Petrilin <yevgenyp@mellanox.co.il> Yevgeny Petrilin <yevgenyp@mellanox.com> Yi Zhang <yizhang@marvell.com> Yi Zou <yi.zou@intel.com> Yijing Wang <wangyijing@huawei.com> Yi...

...tre <yannick.fertre@stericsson.com> Yashpal Dutta <yashpal.dutta@freescale.com> Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> ybu <ybu@qti.qualcomm.com> Yegor Yefremov <yegorslists@googlemail.com> Yehuda Yitschak <yehuday@marvell.com> Yen Lin <yelin@nvidia.com> Yevgeniy Melnichuk <yevgeniy.melnichuk@googlemail.com> Yevgeny Petrilin <yevgenyp@mellanox.co.il> Yevgeny Petrilin <yevgenyp@mellanox.com> Yi Zhang <yizhang@marvell.com> Yi Zou <yi.zou@intel.com> Yijing Wang <wangyijing@huawei.com> Yi...

...tre <yannick.fertre@stericsson.com> Yashpal Dutta <yashpal.dutta@freescale.com> Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> ybu <ybu@qti.qualcomm.com> Yegor Yefremov <yegorslists@googlemail.com> Yehuda Yitschak <yehuday@marvell.com> Yen Lin <yelin@nvidia.com> Yevgeniy Melnichuk <yevgeniy.melnichuk@googlemail.com> Yevgeny Petrilin <yevgenyp@mellanox.co.il> Yevgeny Petrilin <yevgenyp@mellanox.com> Yi Zhang <yizhang@marvell.com> Yi Zou <yi.zou@intel.com> Yijing Wang <wangyijing@huawei.com> Yi...

Hey, I have a dataset and I want to identify the records by groups for further use in ggplot. Here is a sample data: ID Value AL1 1 AL2 2 CA1 3 CA4 4 I want to identify all the records that in the same state (AL1 AND A2), group them as "AL", and do the same for CA1 and CA4. How can I have an output like: ID Value State AL1 1 AL AL2 2 AL CA1 3 CA CA4 4

I want to show counts value on stacked bar chart in ggplot2. I found similar question here http://stackoverflow.com/questions/6644997/showing-data-values-on-stacked-bar-chart-in-ggplot2 but that one shows value instead of counts. My data frame(dat1) is sth like this: Group Length Width 1 1.1 0.2 2 1.1 0.3 2 1.0 0.4 3 1.2