{"id":6109,"date":"2023-02-27T16:29:00","date_gmt":"2023-02-27T16:29:00","guid":{"rendered":"https:\/\/www.goodacademic.com\/blog\/questions\/train-analysis\/"},"modified":"2023-02-27T16:29:00","modified_gmt":"2023-02-27T16:29:00","slug":"train-analysis","status":"publish","type":"questions","link":"https:\/\/www.goodacademic.com\/blog\/questions\/train-analysis\/","title":{"rendered":"Train Analysis"},"content":{"rendered":"
\n Learning Goal: <\/b>I’m working on a data analytics exercise and need the explanation and answer to help me learn.<\/p>\n

Please answer all questions in the word file and provide all related R code.<\/strong><\/p>\n

HELP: Reading the data<\/strong><\/p>\n

# Bringing the data<\/em>
train.x <- read.table(file = “train.txt”, header = FALSE)
train.y <- read.table(file = “train_id.txt”, header = FALSE)
test.x <- read.table(file = “test.txt”, header = FALSE)
test.y <- read.table(file = “test_id.txt”, header = FALSE)<\/p>\n

# Combining the data<\/em>
train.dt <- cbind(train.y, train.x)
test.dt <- cbind(test.y, test.x)<\/p>\n

# Assign names for the columns<\/em>
colnames(train.dt) <- c(“Y”, paste(“X”, 1:4, sep = “”))
colnames(test.dt) <- c(“Y”, paste(“X”, 1:4, sep = “”))<\/p>\n

# Converting target Y to (0, 1) standard look (this is optional)<\/em>
train.dt$Y <- ifelse(train.dt$Y == 1, 0, 1)
test.dt$Y <- ifelse(test.dt$Y == 1, 0, 1)<\/p>\n

Sample Code:<\/p>\n

Illustration with Stock Market data<\/h3>\n

Attached Files:<\/p>\n