search for: casea

...use sometimes column spacing is not good in mail) I have a file(file.txt) attached with this mail.I am reading it using this code to make a data frame (file)- file=read.table("file.txt",fill=T,colClasses = "character",header=T) file looks like this- Chr Pos CaseA CaseC CaseG CaseT 10 135344110 0.000000 24.000000 0.000000 0.000000 10 135344110 0.000000 0.000000 24.000000 0.000000 10 135344110 0.000000 0.000000 24.000000 0.000000 10 135344113 0.000000 0.000000 24.000000 0.000000 10 135344114 24.000000 0.000000 0.000...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

...the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of mine for which I am mentioning 2 cases CaseA and CaseB. CaseA is working but CaseB is not. (CaseA) Following are 4 commands I gave: R library(ctest) x<-rnorm(50) y<-rnorm(30) var.test(x,y) The output generated by R was: F test to compare two variances data: x and y F = 0.9505, num df = 39, denom df = 29, p-value = 0.8707 alte...

Dear list, I have very little experience in dealing with proportions, i am sure this is a very simple question but i could find no suitable answer beyond doing a chi-sq test and then using the Marascuilo procedure as a post-hoc analysis. I am simply wanting to know if the proportions ( i.e the number of Yes / No) significantly differ between the cases and if so which cases are significantly

...t; pr "\n"; > > pr "\ > @@ -4040,6 +4069,7 @@ let () = > List.iter ( > fun (n, i) -> pr "let %s = %d_l\n" (String.lowercase_ascii n) i > ) constants; > + (* how to represent enums? *) Something like: type name_of_the_enum = | CaseA | CaseB You have to at least make sure the first letter is a capital (or capitalize it) unfortunately. > pr "\n"; > > pr "\ > @@ -4092,7 +4122,7 @@ let print_ocaml_binding (name, { args; ret }) = > List.map ( > function >...

I've mentioned this topic before (in fact, the idea of adding NBD_CMD_FLAG_DF was first mentioned at [1]), but finally finished enough of an implementation to feel confident in posting it. I'd still like to add something under examples/ that uses the new API to implement strict checking of a server's structured replies read implementation (ensure that a server never sends data after