search for: delta13c

Dear all, I would like to conduct a Pearson's correlation using cor.test separately for each individual in my data set. Each individual has nine observations of the measurement variable 'Delta13C'. I can figure our how to do it manually one 'Individual_ID' at a time, but I cannot figure out how to automate the process (a loop I am guessing). In addition, I would like to generate a new data frame that has the each individual's 'Individual_ID', the pearson correlation...

...W_08A_02", "WW_08A_03", "WW_08A_03", "WW_08A_03", "WW_08A_03", "WW_08A_03", "WW_08A_03", "WW_08A_03", "WW_08A_03", "WW_08A_03" ), FeatherPosition = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 2, 3, 4, 5, 6, 7, 8, 9), Delta13C = c(-18.67, -19.16, -20.38, -20.96, -21.61, -21.65, -21.31, -20.8, -21.28, -20.06, -20.3, -21.21, -22.9, -22.87, -21.13, -20.68, -20.58, -20.69)), .Names = c("Individual_ID", "FeatherPosition", "Delta13C"), row.names = c(NA, 18L), class = "data.frame") # spl...

Dear list, I have 9 repeated measures (measurement variable == 'Delta13C') for individuals (ID variable == 'Individual_ID'. Each repeated measure is "indexed" (right term?) by the variable 'FeatherPosition' and given as c('P1', 'P2', 'P3', 'P4', 'P5', 'P6', 'P7', 'P8', 'P9&...

Dear list, I have a dataset where we sampled multiple individuals either 1 or 9 times. Our measurement variable is 'Delta13C' (see below sample dataset). I cannot figure out how to efficiently use a vector command (preferably) or a loop to create a new vector of the names of the individuals sampled 9 times. Note that the 'FeatherPosition' variable will only be "P1" for individuals sampled only once,...