similar to: Early Tail Duplication Inefficiency

Suppose I have two columns of entries, how can I get the union of the two columns? Please note: I input my columns through excel. These entries have text format in excel. Also, out of curiosity, how can I find out the data type of a data frame ? > a <- read.csv("book1.csv") > a n1 n2 1 apple soda 2 orange apple 3 soda green 4 red yellow 5 white blue 6

Hi all I?m trying to get confidence intervals for parameters from nls modeling. I fitted a nls model to the following variables: > x [1] 2 1 1 5 4 6 13 11 13 101 101 101 > y [1] 1.281055090 1.563609934 0.001570796 2.291579783 0.841891853 [6] 6.553951324 14.243274230 14.519899320 15.066473610 21.728809880 [11] 18.553054450 23.722637370 The model fitted was:

Hi all I?ve got a problem using boxcox.nls function in nlrwr packagge. I?m fitting several non linear models to these data: > x [1] 2 1 1 5 4 6 13 11 13 101 101 101 > y [1] 1.281055090 1.563609934 0.001570796 2.291579783 0.841891853 [6] 6.553951324 14.243274230 14.519899320 15.066473610 21.728809880 [11] 18.553054450 23.722637370 I used nls function with self

I am trying to do a priori ANOVA analysis for a class assignment. The professor uses SPSS and does not know R. I want to do a simple planned comparison but have been unable to find a function or specific help. There is a grouping variable with five levels and a subsequent response variable. I also created a few columns that contain my group contrasts to see if anything could come of that. My first

Dear list members, I am new member and fairly new into R world! I hope what I have is not beyond the purpose of this list. I did first search for similar experimental designs without success. I want to perform an ANOVA analysis using the aov() function. I am not 100% sure that I have it right. If anyone can help me, that will be greatly appreciated. My design is not balanced for any of the

Hallo, I am totally confused why Excel and R give me totally different regression results for the data below. If you know the solution, please enlighten me. In Excel I used LINEST() and Data>Data Analysis>Regression and both (fortunately) gave the same result. The coefficients were: /b0=1.16, b1=0.957, b2=0.024, R2=0.0027, adjusted R2=-0.017/ In R I used