Resorting Nested Column Data Into Rows

#1
Thank you for glancing at this post!

My problem is this: I have my data currently sorted in three columns (Participant, Time, Obs). Each participant has 5 observations (in obs column) for two different time points (1 & 2; each participant has 10 total observations). I need to resort the data so that each participant has only two rows, Time 1 & Time 2, and the 5 observations for each time point are all on the same row. I have attached a sample of the dataset to help.

I have tried using the library reshape but haven't been able to get it to work. In advance, thank you very much for you help if you have any ideas.
 

Dason

Ambassador to the humans
#2
I use reshape2.

You need to create an id variable to basically tell it which column the observations will be going into

Code:
dat <- read.table("~/Downloads/tempdata.txt", header = T, sep = "\t")
dat$id <- 1:5

library(reshape2)
dcast(data = dat, formula = Participant + Time ~ id, value.var = "Obs")