search for: nidle

Hi, I was wondering if there is a way to figure out why in SAS random beta coefficients are 0 vs. in R the beta-s are non zero. The variables of the data are nidl, time, and sub (for subject). Time and nidl are continuous variables. I am applying random coefficients model. Any input is greatly appreciated, Thanks, Aldi 1. mixed model in SAS: ====================== ods output SolutionR =

Posted this to xen-users back in Oct (http://www.gossamer-threads.com/lists/xen/users/186768), but just confirmed that I''m still seeing this behavior on 4.1. Polling the UCE-SNMP-MIB::ssCpuRawIdle counter results in a total that''s double the actual number of cpu''s on the system, so for example: nms ~ # snmpwalk -v 2c -c ''XXX'' xen1

Dear all, I am a newcomer to R programming, I met the problem: I have a lot of .txt files in my directory. Firstly, I check whether the file satisfies the conditions: 1.empty 2.the "Rep" column of the file has no "useractivity_idle" or "useractivity_act" 3.even The "rep" has both of them, numbers of "useractivity_idle"==numbers of