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...o run rolling regressions with it. Any suggestions would be useful. Here are the details: (1) I convert relevant variables into time series objects and compute first differences: vad <- ts(data$ALLGVA/data$GDPDEF, start=1948, frequency=1) emp <- ts(data$ALLEMP, start=1948, frequency=1) vad.dif1 <- diff(vad) emp.dif1 <- diff(emp) (2) I make a data set: d <- ts.union(emp.chng=emp.dif1,lag.emp.chng=lag(emp.dif1,-1),twolag.emp.chng=lag(emp.dif1,-2), vad.chng=vad.dif1,lag.vad.chng=lag(vad.dif1,-1),twolag.vad.chng=lag(vad.dif1,-2)) (3) I run regressions: reg2 <- lm(emp.chng~vad...

...to "zoom in" on specific clusters and plot them, is this possible at all ? Also I have a microarray experiment where I'd like to be able to plot A gene tree against a condition tree using the heatmap function. for genes according to treatments and viceversa I.e Treatments being DIF1, DIF2, DIF3 genes being 324c_F, 634_F etc. 393 genes x 3 treatments name DIF1 DIF2 DIF3 324c_F 4.16E-01 2.65E-01 0.298602679 634_F 8.95E-01 6.67E-01 0.337895962 504c_F 4.54E-01 5.94E-01 1.185792741 1302_F -6.43E-01 -5.39E-01 0.073152009 233c_F 4.20E-01 4.27E-01 0.261216119 1274_F -5.00E...

Dear all R users, Suppose I have a VECTOR of time series y[t] consists of 2000 data point. For example suppose I have data frame which has two columns. First column represents a time series of exchange rate for 2000 days. And the second column represents the price of a commodity for the same period. Now I want to fit a OLS regression like that, y[t] = a + b*delta[y[t-1]] + c*delta[y[t-2]] +

...ed. -- -- Howard Chu CTO, Symas Corp. http://www.symas.com Director, Highland Sun http://highlandsun.com/hyc/ Chief Architect, OpenLDAP http://www.openldap.org/project/ -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: dif1.txt URL: <http://lists.mindrot.org/pipermail/openssh-unix-dev/attachments/20100614/8abe70cd/attachment.txt>