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Hi everyone, I have a response variable 'y' and several predictor variables 'x_i'. I start with a linear model: m1 <- lm(y ~ x1); summary(m1) and I get a statistically significant estimate for 'x1'. Then, I modify my model...
Hello everyone, I have a dataframe with 1 column and I'd like to replace that column with a moving average. Example: > library('zoo') > mydat <- seq_len(10) > mydat [1] 1 2 3 4 5 6 7 8 9 10...
For archiving reasons: 1. "Practical Regression and Anova using R" by Faraway 2. Possible reason: multi-collinearity in predictor variables. Thanks everybody! On Thu, Aug 8, 2013 at 1:43 PM, Stathis Kamperis <ekamperi at gmail.com> wrote: > Hi everyone...
Hello everyone, I have the following data frame: > df V1 V2 V3 1 bench1_10 16675 16678 2 bench1_10 16585 16672 3 bench1_100 183924 185563 4 bench1_100 169310 184806 5 bench1_300 514430 516834 6 bench1_300...
Salute, David and Jim, thank you for your response. I managed to solve my issue by using levels(). Best regards, Stathis On Mon, Oct 8, 2012 at 9:59 AM, Jim Holtman <jholtman at gmail.com> wrote: > use the 'levels...
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