"\n ",df[,6]) # create labels
>
> df.plot <- qplot(experiment,mean,data = df, xlab="", ylab="# peptides
> identified")+
> geom_point(fill="grey")+
> geom_errorbar(aes(x=experiment, ymin=mean-stdev, ymax=mean+stdev),
> width=0.25
t;)+
geom_errorbar(aes(x=experiment, ymin=mean-stdev, ymax=mean+stdev), width=0.25)
p + scale_x_discrete( labels = df$labs)
I hop
John Kane
Kingston ON Canada
> -Original Message-
> From: n.hub...@ncmls.ru.nl
> Sent: Wed, 13 Nov 2013 14:24:28 +
> To: r-help@r-project.o
On 11/14/2013 01:24 AM, n.hub...@ncmls.ru.nl wrote:
Dear all,
my data looks the following:
df<- data.frame (experiment=c("E1","E2","E3","E4"), mean = c(3,4,5,6), stdev=c(0.1,0.1,0.05,0.2), method = c("STD","STD", "FP", "FP"), enzyme =c
("T","T/L","T","T/L"), denaturation=c("U","U","0.05%RG
Dear all,
my data looks the following:
df <- data.frame (experiment=c("E1","E2","E3","E4"), mean = c(3,4,5,6),
stdev=c(0.1,0.1,0.05,0.2), method = c("STD","STD", "FP", "FP"), enzyme =c
("T","T/L","T","T/L"), denaturation=c("U","U","0.05%RG", "0.1%RG"))
I would like to make a bar plot wit
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