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Hello, I'm having a problem using the "transform" and "get" functions. I'm probably making a dumb mistake, and I need help! I start by making a small simulated dataset. I save the names of the variables in "var.names." Without getting into the details of it, I have to create a custom function to perform some statistics. As part of this, I need to sequentially

Hi, I made a small table of strings that will serve as variable names for lm models I will run. The table looks like this: > varnames num name 1 1 zCANTAB_log_IED_totaltrials 2 2 zCANTAB_log_IED_preED 3 3 zCANTAB_logPALerrors 4 4 zCANTAB_PALstages 5 5 zCANTAB_logRTI 6 6 zCANTAB_RVP_Totalmisses 7 7

I'm working with a data collected through complex survey design. My goal is to conduct a factor analysis to extract two a priori, known factors, and to get factor scores for these factors. Unfortunately, the "svyfactanal" procedure from the Survey package does not allow for the calculation of either Thompson regression scores or Bartlett scores. So, I found several sources that say

Hello, I'm using a complex survey dataset and my goal is to simply spit out a bunch of probability-weighted outcome variable means for the different levels of covariate. So I first define the structure of the study design (I'm using the CDC's NHANES data): dhanes <- svydesign(id=~PSU, strat=~STRATA, weight=~lab_weight, data=final, nest=TRUE) No problem there. Now I use the