search for: cnts

...###################################### No_of_Frauds<- c(4,1,6,9,9,10,2,4,8,2,3,0,1,2,3,1,3,4,5,4,4,4,9,5,4,3,11,8,12,3,10,0,7) lambda<- mean(No_of_Frauds) # Chi-Squared Goodness of Fit Test # Ho: The data follow a specified distribution Vs H1: Not Ho # observed frequencies variable.cnts <- table(No_of_Frauds) variable.cnts variable.cnts.prs <- dpois(as.numeric(names(variable.cnts)), lambda) variable.cnts.prs variable.cnts <- c(variable.cnts, 0) variable.cnts variable.cnts.prs <- c(variable.cnts.prs, 1-sum(variable.cnts.prs)) variable.cnts.prs tst <- chisq.test(...

...       <-             c(0:(N-1))   pmf           <-             dpois(i, Lambda, log = FALSE)     # ----------------------------------------------------------------------------     # Ho: The data follow Poisson Distribution Vs H1: Not Ho     # observed frequencies (Oi)   variable.cnts       <-     table(No_of_Frauds) variable.cnts.prs <-     dpois(as.numeric(names(variable.cnts)), lambda) variable.cnts       <-     c(variable.cnts, 0)   variable.cnts.prs <-     c(variable.cnts.prs, 1-sum(variable.cnts.prs)) tst                    <-     chisq.test(variable.c...

...i?????????????? <-???????????? c(0:(N-1)) ? pmf??? ?????? <-???????????? dpois(i, Lambda, log = FALSE) ? # ---------------------------------------------------------------------------- ? # Ho: The data follow Poisson Distribution Vs H1: Not Ho ? # observed frequencies (Oi) ? variable.cnts ????? <- ??? table(No_of_Frauds) variable.cnts.prs <-???? dpois(as.numeric(names(variable.cnts)), lambda) variable.cnts ????? <-???? c(variable.cnts, 0) ? variable.cnts.prs <-???? c(variable.cnts.prs, 1-sum(variable.cnts.prs)) tst ?????????????????? <-???? chisq.test(variable.c...

...i               <-             c(0:(N-1))   pmf           <-             dpois(i, Lambda, log = FALSE)   # ----------------------------------------------------------------------------   # Ho: The data follow Poisson Distribution Vs H1: Not Ho   # observed frequencies (Oi)   variable.cnts       <-     table(No_of_Frauds) variable.cnts.prs<-     dpois(as.numeric(names(variable.cnts)), lambda) variable.cnts       <-     c(variable.cnts, 0)   variable.cnts.prs <-     c(variable.cnts.prs, 1-sum(variable.cnts.prs)) tst                    <-     chisq.test(variable.cnt...

...<-???????????? c(0:(N-1)) ? pmf??? ?????? <-???????????? dpois(i, Lambda, log = FALSE) ? # ---------------------------------------------------------------------------- ? # Ho: The data follow Poisson Distribution Vs H1: Not Ho ? # observed frequencies (Oi) ? variable.cnts ????? <- ??? table(No_of_Frauds) variable.cnts.prs? <-??? dpois(as.numeric(names(variable.cnts)), lambda) variable.cnts ????? <-???? c(variable.cnts, 0) ? variable.cnts.prs <-???? c(variable.cnts.prs, 1-sum(variable.cnts.prs)) tst ?????????????????? <-???? chisq.test(vari...

Hi all, This should be easy, but I can't seem to figure it out. I have a table like this named newtable a1 a2 a3 a4 Cnts Score 1 1 0 0 4 3.28 1 0 1 1 2 2.63 I want the following: a1 a2 a3 a4 Cnts Score 1 1 0 0 4 3.28 1 1 0 0 4 3.28 1 1 0 0 4 3.28 1 1 0 0 4 3.28 1 0 1 1 2...

I am sorry to be bothering the list so much. I made a table of counts of flight arrivals by hour: cnts=tapply(Arrival4,list(Hour),table). There are up to 15 arrivals in a bin. > cnts $`0` 1 2 3 4 5 6 7 8 9 10 13 1 2 5 9 2 7 5 4 2 4 1 $`1` 1 2 3 4 3 2 2 1 $`2` 1 3 2 2 . . . My first problem is how to get this table filled in with the 0 slots. E.g., I want $`0` 1 2 3...

...<- samplesStats("*") return(list(Stats = sims)) } require(BRugs) numKnots <- 25 range.x <- c(0,202) ox <- order(x) x <- x[ox] delta <- delta[ox] n <- length(x) xTil <- as.numeric(names(table(x))) cnts <- as.numeric(table(x)) nTil <- length(xTil) deltaTil <- rep(NA, nTil) for (iTil in 1:nTil) deltaTil[iTil] <- sum(delta[(1:n)[x == xTil[iTil]]]) sd.xTil <- sd(xTil) xTil <- xTil/sd.xTil range.x <- range.x/sd.xTil d1xTil <- xTil[2:nTil] -...

Some help with how to re-label the vertical axis in a histogram would be appreciated. qplot(off.sc,weight=rel.freq,binwidth=.29,main="test Figure"+ylab("New from inside"))+ylab("New from outside")+ xlab("off.sc\nAggregated frequency plots for 17 equal intervals.") The code

...concurrent unqueue()'s step-B, in which diff --git a/kernel/locking/qrwlock.c b/kernel/locking/qrwlock.c index 19248dd..cc3ed0c 100644 --- a/kernel/locking/qrwlock.c +++ b/kernel/locking/qrwlock.c @@ -54,7 +54,7 @@ static __always_inline void rspin_until_writer_unlock(struct qrwlock *lock, u32 cnts) { while ((cnts & _QW_WMASK) == _QW_LOCKED) { - cpu_relax_lowlatency(); + cpu_relax(); cnts = atomic_read_acquire(&lock->cnts); } } @@ -130,7 +130,7 @@ void queued_write_lock_slowpath(struct qrwlock *lock) (cmpxchg_relaxed(&l->wmode, 0, _QW_WAITING) == 0)) bre...

...is is a simple problem. I'm trying to do cca of my data. I have my plant data and environmental data as 2 separate files. I have 3 years of data, stacked vertically, within these files. I want to conduct the cca for each year and am trying to create separate year files using the following: cnts94 <- cnts[1:27,] env94 <- env[1:27,] when I run cca(cnts94, env94) I get the following error message: Error in cca.default(cnts94, env94): All row and column sums must be >0 in the community matrix There are no missing data points in the data set. If I run the whole data set: cca(cn...

Hi, I'm using GAGE/pathview to analyze my RNA-seq and phospho-protein data. The following error occurs after this command line below: >pv.out.list <- sapply(path.ids2[1:3], function(pid) pathview( gene.data = cnts.d, pathway.id = pid, gene.idtype="SYMBOL",kegg.native = F, same.layer = T, species = "hsa", kegg.dir = "test", out.suffix = "up")) Start tag expected, '<' not found Warning: Parsing test/hsa04510.xml file failed, please check the file! That .x...

...3 8 13 18 23 28 [4,] 4 9 14 19 24 29 [5,] 5 10 15 20 25 30 > qtl = t(apply(x, 1, quantile, probs = c(.1,.9),na.rm=T)) > qtl 10% 90% [1,] 3.5 23.5 [2,] 4.5 24.5 [3,] 5.5 25.5 [4,] 6.5 26.5 [5,] 7.5 27.5 I would like counts like this for each row: cnts [,1] [,2] [1,] 1 1 [2,] 1 1 [3,] 1 1 [4,] 1 1 [5,] 1 1 ...because for the first row (x[1,]) only value 1 is less than 3.5 and only value 26 is greater 23.5 and so on for the other rows. I'm thinking its a apply(x,1,...some FUN here...), but still getting use to app...

Hi all, I am new in R. I am trying to make an histogram but I can't figure it out. I have .cvs table with a lot of data that look like this: I already have the frequency of each interval (Counts). Interval Counts 00:19 0 10:19 3117 20:29 4500 30:39 2330....... I want to make the histogram with that. At the y axis I want to have the Counts and at x axis I

Hi How do I get the output from table() in matrix form? If I have R> table(c(1,1,1,1,2,20)) 1 2 20 4 1 1 I want [,1] [,2] [,3] [1,] 1 2 20 [2,] 4 1 1 The problem is that names(table) is a vector of characters and I need the numeric values. I am using R> rbind(as.integer(names(x)),x) I thought tabulate() might be better as it takes an

Peter, here is v2 with some improved patch descriptions and some fixes. The previous version has survived one day of linux-next and I only changed small parts. So unless there is some other issue, feel free to pull (or to apply the patches) to tip/locking. The following changes since commit 07d9a380680d1c0eb51ef87ff2eab5c994949e69: Linux 4.9-rc2 (2016-10-23 17:10:14 -0700) are available in

Peter, here is v2 with some improved patch descriptions and some fixes. The previous version has survived one day of linux-next and I only changed small parts. So unless there is some other issue, feel free to pull (or to apply the patches) to tip/locking. The following changes since commit 07d9a380680d1c0eb51ef87ff2eab5c994949e69: Linux 4.9-rc2 (2016-10-23 17:10:14 -0700) are available in