User contributions for Onnowpurbo
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Results for Onnowpurbo talk block log uploads logs
A user with 69,477 edits. Account created on 17 July 2007.
2 December 2019
- 01:4701:47, 2 December 2019 diff hist +76 R →Regression Analysis
- 01:4601:46, 2 December 2019 diff hist +1,867 N R Regression: stepwise regression essentials Created page with " # Ref: http://www.sthda.com/english/articles/37-model-selection-essentials-in-r/154-stepwise-regression-essentials-in-r/ library(tidyverse) library(caret) library(leaps)..." current
- 01:4401:44, 2 December 2019 diff hist +51 R →Regression Analysis
- 01:4301:43, 2 December 2019 diff hist +1,229 N R Regression: multicollinearity essentials and vif Created page with "# Ref: http://www.sthda.com/english/articles/39-regression-model-diagnostics/160-multicollinearity-essentials-and-vif-in-r/ library(tidyverse) library(caret) # Load the..." current
- 01:4201:42, 2 December 2019 diff hist +57 R →Regression Analysis
29 November 2019
- 09:0709:07, 29 November 2019 diff hist +3,414 R Regression: Logistic Regression No edit summary current
- 08:4208:42, 29 November 2019 diff hist +293 N R Regression: Logistic Regression Created page with " # Ref: http://www.sthda.com/english/articles/36-classification-methods-essentials/151-logistic-regression-essentials-in-r/ ==Referensi== * http://www.sthda.com/englis..."
- 08:4008:40, 29 November 2019 diff hist +40 R →Machine Learning
- 08:3908:39, 29 November 2019 diff hist +448 N R ML: Load Dataset Created page with " # Ref: http://www.sthda.com/english/articles/36-classification-methods-essentials/ install.packages("mlbench") # Load the data set PIMA INDIAN data("PimaIndiansDiabetes2..." current
- 08:3508:35, 29 November 2019 diff hist +1 R →=Machine Learning
- 08:3508:35, 29 November 2019 diff hist +49 R →Regression Analysis
- 06:1706:17, 29 November 2019 diff hist +1,108 N R Regression: Categorical Variables Created page with "Sumber: http://www.sthda.com/english/articles/40-regression-analysis/163-regression-with-categorical-variables-dummy-coding-essentials-in-r/#example-of-data-set install.p..." current
- 06:1606:16, 29 November 2019 diff hist +43 R →Regression Analysis
- 04:0604:06, 29 November 2019 diff hist +15 Cek / memperbaiki partisi harddisk →Contoh lain current
- 03:2403:24, 29 November 2019 diff hist +2,279 N R Regression: Linear Regression Created page with " # Ref: http://www.sthda.com/english/articles/40-regression-analysis/165-linear-regression-essentials-in-r/ if(!require(devtools)) install.packages("devtools") devtools::i..." current
- 03:2103:21, 29 November 2019 diff hist +147 R Regression: Simple Linear Regression No edit summary current
- 03:2103:21, 29 November 2019 diff hist +1,073 N R Regression: Simple Linear Regression Created page with " # Ref: http://www.sthda.com/english/articles/40-regression-analysis/167-simple-linear-regression-in-r/ if(!require(devtools)) install.packages("devtools") devtools::inst..."
- 03:2003:20, 29 November 2019 diff hist +83 R →Regression Analysis
- 03:1703:17, 29 November 2019 diff hist +241 Cek / memperbaiki partisi harddisk →Contoh lain
- 03:1603:16, 29 November 2019 diff hist +43 Cek / memperbaiki partisi harddisk →Contoh lain
- 02:2402:24, 29 November 2019 diff hist +559 N R Regression: Dataset Created page with "Sumber: http://www.sthda.com/english/articles/40-regression-analysis/ ==Code== if(!require(devtools)) install.packages("devtools") devtools::install_github("kassambara/dat..." current
- 02:2202:22, 29 November 2019 diff hist +29 R →Regression Analysis
- 02:2102:21, 29 November 2019 diff hist +2 R →Regression Analysis
28 November 2019
- 06:3106:31, 28 November 2019 diff hist +26 R →Time Series
- 05:2105:21, 28 November 2019 diff hist +192 R: Matematika Dasar →Spesial current
- 04:2204:22, 28 November 2019 diff hist +1,043 N R Plot: ggplot2 extensions for ts objects Created page with " install.packages( c("ggfortify", "changepoint", "strucchange", "ggpmisc") ) Then use the autoplot.ts() function to visualize time series objects, as follow: libr..." current
- 04:2104:21, 28 November 2019 diff hist +48 R →Graphics
- 04:0204:02, 28 November 2019 diff hist +1,185 N R Plot: multiple time series data Created page with " library(tidyr) library(dplyr) df <- economics %>% select(date, psavert, uempmed) %>% gather(key = "variable", value = "value", -date) head(df, 3) # Multiple line..." current
- 03:5903:59, 28 November 2019 diff hist +40 R →Graphics
- 03:5203:52, 28 November 2019 diff hist +123 R Plot: Basics No edit summary current
- 03:5103:51, 28 November 2019 diff hist +171 R Plot: Basics No edit summary
- 03:4903:49, 28 November 2019 diff hist +31 R Plot: Basics No edit summary
- 03:4803:48, 28 November 2019 diff hist +361 N R Plot: Basics Created page with " library(ggplot2) theme_set(theme_minimal()) # Demo dataset head(economics) # Basic line plot ggplot(data = economics, aes(x = date, y = pop))+ geom_line(color = "#00..."
- 03:4803:48, 28 November 2019 diff hist +2 R →Graphics
- 03:4803:48, 28 November 2019 diff hist +36 R →Time Series
- 03:4503:45, 28 November 2019 diff hist −18 R No edit summary
- 03:4003:40, 28 November 2019 diff hist +66 R →Referensi
- 03:3803:38, 28 November 2019 diff hist −38 R →Rstudio
- 03:3503:35, 28 November 2019 diff hist +74 R: Import →Pranala Menarik current
- 03:3403:34, 28 November 2019 diff hist +75 R: Export →Pranala Menarik current
- 03:3403:34, 28 November 2019 diff hist +289 R: Export →Excel
- 03:3303:33, 28 November 2019 diff hist +309 R: Export No edit summary
- 03:3203:32, 28 November 2019 diff hist +216 R: Export No edit summary
- 03:3203:32, 28 November 2019 diff hist +501 N R: Export Created page with " # Loading mtcars data data("mtcars") # Write data to txt file: tab separated values # sep = "\t" write.table(mtcars, file = "mtcars.txt", sep = "\t", row.nam..."
- 03:3103:31, 28 November 2019 diff hist +16 R →Data
- 03:3103:31, 28 November 2019 diff hist +183 R: Import →Fast Read
- 03:3003:30, 28 November 2019 diff hist +229 R: Import No edit summary
- 03:2903:29, 28 November 2019 diff hist +215 N R: Import Created page with " # Read tab separated values read.delim(file.choose()) # Read comma (",") separated values read.csv(file.choose()) # Read semicolon (";") separated values read.csv2(file..."
- 03:2903:29, 28 November 2019 diff hist +11 R →R Dataset
- 03:2803:28, 28 November 2019 diff hist +31 R: data →Basic R Functions current