search for: condb

Hello, I found out an unexpected behaviour of search queries with mixed "AND" and "OR". With search query "\( condA OR condB condC \)" I get an error: Fatal: Use parenthesis when mixing ANDs and ORs if I switch left and right OR-part and use the query "\( condB condC OR condA \)" I get a result, but it is not the expected result of the query "\( \( condB condC \) OR condA \)" I get the result...

...nd+Q1,conf.level=0.95,data=x,type="Tukey")) > o5 Simultaneous tests: Tukey contrasts Call: simtest.formula(formula = D ~ Cond + Q1, data = x, conf.level = 0.95, type = "Tukey") Tukey contrasts for factor Cond, covariable: Q1 Contrast matrix: CondA CondB CondC CondB-CondA 0 -1 1 0 0 CondC-CondA 0 -1 0 1 0 CondC-CondB 0 0 -1 1 0 Absolute Error Tolerance: 0.001 Coefficients: Estimate t value Std.Err. p raw p Bonf p adj CondB-CondA 5.555 -1.461 3.802 0.151 0.453 0.319 CondC-CondB...

On 14.12.2016 12:18, Juergen Raschke wrote: > Hello, > > > I found out an unexpected behaviour of search queries with mixed > "AND" and "OR". > > > With search query "\( condA OR condB condC \)" I get an error: > Fatal: Use parenthesis when mixing ANDs and ORs > > if I switch left and right OR-part and use the query > "\( condB condC OR condA \)" > > I get a result, but it is not the expected result of the query > "\( \( condB condC \) OR...

...y, each participant filled in a questionnaire, the result of which is a score. > questionnaire ID Score 1 1 6 2 2 5 3 3 6 4 4 2 ... Secondly, each participant did a task which required a series of button-pushes. The response is binary. The factors CondA and CondB describe the structure of the stimulus: > experiment ID CondA CondB Response 1 1 a1 b1 1 2 1 a2 b2 0 3 1 a3 b1 0 4 1 a4 b2 0 5 1 a1 b1 1 6 1 a2 b2 0 7 1 a3 b1 0 8 1 a4...

...nse cond is a factor with levels a, b, and c Ne is a continuous indep var I think of this full model as having three lines: thresh as a function of Ne for each condition. Thus we have slopea, slopeb, slopec, inta, intb, intc. lm output my params ------------------------- (Intercept) inta condb intb - inta condc intc - inta Ne slopea condb:Ne slopeb - slopea condc:Ne slopec - slopea This parametrization automatically compares inta vs intb inta vs intc But how to get test for diff of intb vs intc? Same question for slope: I already have slopea vs slop...

...elow) and place them in .First of .RProfile: drv <- dbDriver("MySQL") dbcon <- dbConnect(drv, {other parameters present in my.cnf file} dbname="mydbName") DOES create a connection when entered into my R console individually but NOT when I place them in a function, i.e., condb <- function() { drv <- dbDriver("MySQL") dbcon <- dbConnect(drv, dbname="mydbName") dbGetInfo(db) } When the function is called, the dbGetInfo(dbcon) does return connection info but no connection object is present. I would be ver grateful for any guidance on where...

...I do not understand how to use it properly. Specifically, I cannot understand if I can test independence of arbitrary statistics. Take the following example: set.seed(10) d <- data.frame(y = c(rnorm(10, mean=3, sd = 5), rnorm(10, mean = 4, sd = 4)), x = c(rep("condA", 10), rep("condB", 10))) I've figured out how to do (m.perm <- independence_test(y ~ x, data=d, distribution="exact")) which tells me (I think) that the probability of these data assuming no difference between the two groups is .0026. But unfortunately I don't know what that means. My (...

Hello, I am doing a simple if else statement in R. But it always comes out error such as 'unexpected error' There are two variables. ini and b. when ini=1, a=3; when ini>1 and b>2, a=5; all other situations, a=6. I don't know where it is wrong. Here is my code ini=3 b=4 if (ini==1) { a=3 } else if (ini>1 and b>2 ) { a=5 } else {a=6} Thanks a