search for: y50

Dear List, I have (for example) 50 observations collected from 50 experimental sites and want to look at changes of 50 observations as function of time in a graph. I found that I could do that using R-code below: time2 <- 1:25 y1=rnorm(25, mean=0, sd=1) y2=rnorm(25, mean=0, sd=1) ... y50=rnorm(25, mean=2, sd=1) plot(time2, y1, type='b', xlim=range(0,30), ylim=range(y1, y2), xlab='x', ylab='y', pch="1",col=3) points(time2, y2, type='b', col="red", xlab='x', ylab='y', pch="2") ... points(time2, y50, type=...

https://bugs.freedesktop.org/show_bug.cgi?id=106454 Bug ID: 106454 Summary: Xorg crashes with nouveau on lenovo y50 (nvidia GTX 860M) (freezes with proprietary drivers) Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: major Priority: medium Component: Drive...

...S$Bio<-as.factor(MS$Bio) str(MS) ##### boxplot BFF QI MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() MS1$Jahr<-as.factor(MS1$Jahr) MS1s <- MS1 %>% group_by(MS1$Jahr, MS1$Bio) %>% summarise( y0 = quantile(QI_A, 0.05), y25 = quantile(QI_A, 0.25), y50 = mean(QI_A), y75 = quantile(QI_A, 0.75), y100 = quantile(QI_A, 0.95)) MS1s colnames(MS1s)[1]<-"Jahr" colnames(MS1s)[2]<-"Bio" MS1s p1<-ggplot(MS1s, aes(Jahr, fill = as.factor(Bio))) + geom_boxplot( aes(ymin = y0, lower = y25, middle = y50, upper = y75,...

...t;NA") %>% droplevels() > > MS1$Jahr<-as.factor(MS1$Jahr) > > > > MS1s <- MS1 %>% > > group_by(MS1$Jahr, MS1$Bio) %>% > > summarise( > > y0 = quantile(QI_A, 0.05), > > y25 = quantile(QI_A, 0.25), > > y50 = mean(QI_A), > > y75 = quantile(QI_A, 0.75), > > y100 = quantile(QI_A, 0.95)) > > > > MS1s > > colnames(MS1s)[1]<-"Jahr" > > colnames(MS1s)[2]<-"Bio" > > MS1s > > > > p1<-ggplot(MS1s, aes(Ja...

...d ggplot. Kind regards Sibylle Code: MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() MS1$Jahr<-as.factor(MS1$Jahr) MS1s <- MS1 %>% group_by(MS1$Jahr, MS1$Bio) %>% summarise( y0 = quantile(QI_A, 0.05), y25 = quantile(QI_A, 0.25), y50 = mean(QI_A), y75 = quantile(QI_A, 0.75), y100 = quantile(QI_A, 0.95)) MS1s colnames(MS1s)[1]<-"Jahr" colnames(MS1s)[2]<-"Bio" MS1s p1<-ggplot(MS1s, aes(Jahr, fill = as.factor(Bio))) + geom_boxplot( aes(ymin = y0, lower = y25, middle = y50,...

...F QI > > MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() > MS1$Jahr<-as.factor(MS1$Jahr) > > MS1s <- MS1 %>% > group_by(MS1$Jahr, MS1$Bio) %>% > summarise( > y0 = quantile(QI_A, 0.05), > y25 = quantile(QI_A, 0.25), > y50 = mean(QI_A), > y75 = quantile(QI_A, 0.75), > y100 = quantile(QI_A, 0.95)) > > MS1s > colnames(MS1s)[1]<-"Jahr" > colnames(MS1s)[2]<-"Bio" > MS1s > > p1<-ggplot(MS1s, aes(Jahr, fill = as.factor(Bio))) + > geom_boxplot( >...

...mp; mydata$expREP=="expREP1" & mydata$techREP=="techREP1"] m2<-median(m1) m3<-cbind(ID=m0,time=rep("24hr",length(m1)), treatment=rep("control",length(m1)), expREP=rep("expREP1",length(m1)), techREP=rep("techREP1",length(m1)),Y=m1,Y50=rep(m2,length(m1))) ######### I would like to avoid writing the above hundreds of times ###### I am able to reshape into wide format and then find the column medians. However restacking the data and regenerating the factors becomes very very messy on data sets with 150 columns. I am able to prefo...

..., returns me an error. Thanks in advance Lewis EXAMPLE CODE factors<-matrix(runif(400),nrow=40) returns1<-matrix(runif(40),nrow=1) returns2<-matrix(runif(2000),nrow=50) coef(summary(lm(t(returns1)~factors)))[1,4] [1] 0.01062590 (coef(summary(lm(t(returns2)~factors)))[50]) Response Y50 : Estimate Std. Error t value Pr(>|t|) (Intercept) 0.54829326 0.3230444 1.69726923 0.1003545 factors1 0.08225028 0.1858496 0.44256369 0.6613648 factors2 -0.03084209 0.1968324 -0.15669216 0.8765733 factors3 -0.11287874 0.1845361 -0.61168926 0.5455093 factors4...

...390.25 driver.* *# * *exp at exp:~$ * *exp at exp:~$ * *exp at exp:~$ sudo dmidecode -t bios | grep Vendor* * Vendor: LENOVO* *exp at exp:~$ * *exp at exp:~$ * *exp at exp:~$ sudo dmidecode -t system | grep "Manufacturer:\|Version"* * Manufacturer: LENOVO* * Version: Lenovo Y50-70 Touch* *exp at exp:~$ * *exp at exp:~$ * *exp at exp:~$ sudo dmidecode -t processor | grep Version* * Version: Intel(R) Core(TM) i7-4710HQ CPU @ 2.50GHz* *exp at exp:~$* *NOTE 1 : *For all the detailed logs(from each stage), you can read my answer for LLVM-Clang/Linux kernel question here :...

...pdragon Qualcomm LLVM/clang + NDK r13b binutils(as, etc)* *[Average Battery Usage]* *BUILD SYSTEM INFORMATION* Code: #### Build system information #### exp at exp:~$ exp at exp:~$ sudo dmidecode -t system | grep "Manufacturer:\|Version:" Manufacturer: LENOVO Version: Lenovo Y50-70 Touch exp at exp:~$ exp at exp:~$ exp at exp:~$ exp at exp:~$ sudo dmidecode -t processor | grep "Version\|Family:" Family: Core i7 Version: Intel(R) Core(TM) i7-4710HQ CPU @ 2.50GHz exp at exp:~$ exp at exp:~$ exp at exp:~$ exp at exp:~$ cat /proc/meminfo | grep MemTotal Mem...

...<bmvQD3c>RR=BY5i<j z0l&1dTyKE7vpT;Bu|{un<mUM07 at h0n=7Hh7J|E(T^aWh<j><1K?AI4MZ2Wq~T741h z+^X}-603E21FJXrd2BD1ZCwKCBl=QkI;k)7tD;d~?kMNi9d_v}WK;RgoP9d|_DZLy z8QiCJe!XE4WIhrNI{kPR^hEX5e)&@K8o%mYsM1>hRb6d$%lBK>`T0g1hf8ry-{Aji z?;=&))RmhWQ!C~Bga4A^ZBoS at T}@2#yZS~y50|-Fs&}y}9_T5Xpx~jt8Ssg|1 at N)H z)$iPeOZROD>AAkcFSjN;k$I%=0(`3Tufd<`yMe#ZTm0YgE>)GNt33U+{_!5rmKb{h z8;pH^`Q3W{Ec_&6zh6Eb$H_~KG!CMCzH!KD|6xDx*ZKSNl?L at cf|gG)_!ZINMk}{p zL?z at uQ`4=_fvy=wo8S5VT)Q0iM<FrY=x~N3e+s|K;Fm{77 at ctD7=t2RPSwXy=>p at p z?5z{PXBr#^%8iqb8K?a6%N|fxW1K&lt...