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Sayan Nandy
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  • Kanpur
  • India
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Getting problem on outlier treatment after imputing the Missing value By HMISC package

Started Feb 19, 2018 0 Replies

Hi all, I am using Hmisc package for imputing the missing value. At first, I have converted all my dummy variables into factor. Then I am using aregimpute function from the HMisc package. I have…Continue

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Keshav Dhandhania and Sayan Nandy are now friends
May 28, 2018
ANISH XAVIER liked Sayan Nandy's discussion Getting problem on outlier treatment after imputing the Missing value By HMISC package
Feb 28, 2018
Sayan Nandy replied to SHEKHAR PANDEY's discussion Logistic Regression Query
"If your Variable has Four Types, then you have to convert this variable into categorical.. for that,You don't have to label anything. And, If your variable has outlier, then you should remove those outliers from the variable before applying the…"
Feb 21, 2018
Sayan Nandy replied to Hemanth Kumar's discussion Best Model to recommend Trade Promotions
"You can use Multivariate Time series.."
Feb 21, 2018
Sayan Nandy replied to Prashanth Southekal, PhD's discussion Regression Analysis
"It's completely depend upon your objectives.As your dependent variable is continuous, I think you should use Multiple Linear regression Model ."
Feb 21, 2018
Sayan Nandy's 2 discussions were featured
Feb 21, 2018

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I have just started my analytics career as Data Scientist in an organization based on Kanpur. My area of expertise R, Power BI, Advance excel etc.
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Epsilonium System
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