dat <- readRDS("TCGA GLUT data.rds")
str(dat)

a <- round(summary(lm(SLC2A1 ~ Gender, data=dat))$coefficients, 5)
b <- round(summary(lm(SLC2A1 ~ Race, data=dat))$coefficients, 5)
c <- round(summary(lm(SLC2A1 ~ Age_Dx, data=dat))$coefficients, 5)
d <- round(summary(lm(SLC2A1 ~ Recurrence, data=dat))$coefficients, 5)
e <- round(summary(lm(SLC2A1 ~ Vital_Status, data=dat))$coefficients, 5)
f <- round(summary(lm(SLC2A1 ~ Hashimoto, data=dat))$coefficients, 5)
g <- round(summary(lm(SLC2A1 ~ Histologic_Dx, data=dat))$coefficients, 5)
h <- round(summary(lm(SLC2A1 ~ Max_Size, data=dat))$coefficients, 5)
i <- round(summary(lm(SLC2A1 ~ Metastatic_LN, data=dat))$coefficients, 5)
j <- round(summary(lm(SLC2A1 ~ ETE, data=dat))$coefficients, 5)
k <- round(summary(lm(SLC2A1 ~ T_stage, data=dat))$coefficients, 5)
l <- round(summary(lm(SLC2A1 ~ N_stage, data=dat))$coefficients, 5)
m <- round(summary(lm(SLC2A1 ~ Stage, data=dat))$coefficients, 5)
n <- round(summary(lm(SLC2A1 ~ BRAF_V600E, data=dat))$coefficients, 5)

SLC2A1.result <- rbind(a,b,c,d,e,f,g,h,i,j,k,l,m,n)
SLC2A1.result

result <- data.frame()
for (i in 28:63){
 a <- summary(lm(dat[,i] ~ Gender, data=dat))$coefficients
 b <- summary(lm(dat[,i] ~ Race, data=dat))$coefficients
 c <- summary(lm(dat[,i] ~ Age_Dx, data=dat))$coefficients
 d <- summary(lm(dat[,i] ~ Recurrence, data=dat))$coefficients
 e <- summary(lm(dat[,i] ~ Vital_Status, data=dat))$coefficients
 f <- summary(lm(dat[,i] ~ Hashimoto, data=dat))$coefficients
 g <- summary(lm(dat[,i] ~ Histologic_Dx, data=dat))$coefficients
 h <- summary(lm(dat[,i] ~ Max_Size, data=dat))$coefficients
 i <- summary(lm(dat[,i] ~ Metastatic_LN, data=dat))$coefficients
 j <- summary(lm(dat[,i] ~ ETE, data=dat))$coefficients
 k <- summary(lm(dat[,i] ~ T_stage, data=dat))$coefficients
 l <- summary(lm(dat[,i] ~ N_stage, data=dat))$coefficients
 m <- summary(lm(dat[,i] ~ Stage, data=dat))$coefficients
 n <- summary(lm(dat[,i] ~ BRAF_V600E, data=dat))$coefficients
 result[i] <- rbind(a,b,c,d,e,f,g,h,i,j,k,l,m,n)
 }