search for: iris4

Hi, I have some simple statistics to calculate for a large number of variables. I created a simple function to apply to variables. I would like the variable name to be placed automatically. I tried the following function but is not working. desc = function(x){ media = mean(x, na.rm=T) desvio = sd(x, na.rm=T) cv = desvio/media*100

When I tried to read all the entries (after searching the FAQ) for "row names xtable", I get START-INFO-DIR-ENTRY * R FAQ: (R-FAQ). The R statistical system ... ... xtable* Export data to LaTeX and HTML tables. ... For dropping the row names of a matrix `x', it may be easier to use `rownames(x) <- NULL', similarly for column ...

...uot;opposite", i.e. instead of having the same >> independent variable and testing it against multiple dependent >> variables, my goal is to test multiple independent variables against >> the same dependent variable. >> >> Using the iris dataset: >> >> iris4 <- as.matrix(iris[,-c(1,5)]) >> summary(lm(iris4 ~ Sepal.Length, iris)) >> >> what I would have liked is to do the following : >> >> summary(lm(Sepal.Length ~ iris4, iris)) >> >> and obtain the results from 3 separate regressions, as above, instead >&...

Hello everybody I have to run many statistical tests that are identical, with the exception of the dependent variable. Is there a possibility to store the dependent variable names e.g. in a vector (in the below mentioned example called “variable”) and to use the content of this vector in a simple statistical test (e.g. a regression). I would like to write the statistical procedure only once…

I have a dataset and I wish to use two different models to predict. Both models are SVM. The reason for two different models is based on the sex of the observation. I wish to be able to make predictions and have the results be in the same order as my original dataset. To illustrate I will use iris: # Take Iris and create a dataframe of just two Species, setosa and versicolor, shuffle them