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Multiple linear regression in Python
... regress my dependent variable (y) against several independent variables (x1, x2, x3, etc.).
13 Answers
...
Uninstall old versions of Ruby gems
...# choose which ones you want to remove
gem uninstall rjb
# remove version 1.1.9 only
gem uninstall rjb --version 1.1.9
# remove all versions less than 1.3.4
gem uninstall rjb --version '<1.3.4'
share
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Why is GHC so large/big?
...
188
It's a bit silly really. Every library that comes with GHC is provided in no less than 4 flav...
Is there an equivalent for the Zip function in Clojure Core or Contrib?
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(map vector '(1 2 3) '(4 5 6))
does what you want:
=> ([1 4] [2 5] [3 6])
Haskell needs a collection of zipWith (zipWith3, zipWith4, ...) functions, because they all need to be of a specific type; in particular, the number of input...
PHP: merge two arrays while keeping keys instead of reindexing?
...
You can simply 'add' the arrays:
>> $a = array(1, 2, 3);
array (
0 => 1,
1 => 2,
2 => 3,
)
>> $b = array("a" => 1, "b" => 2, "c" => 3)
array (
'a' => 1,
'b' => 2,
'c' => 3,
)
>> $a + $b
array (
0 => 1,
1 => 2,
...
Why does parseInt yield NaN with Array#map?
...of the element.
In this case, you ended up calling parseInt with radix 0, 1 and 2 in turn. The first is the same as not supplying the parameter, so it defaulted based on the input (base 10, in this case). Base 1 is an impossible number base, and 3 is not a valid number in base 2:
parseInt('1', 0...
How can I profile Python code line-by-line?
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120
I believe that's what Robert Kern's line_profiler is intended for. From the link:
File: pyst...
How assignment works with Python list slice?
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116
You are confusing two distinct operation that use very similar syntax:
1) slicing:
b = a[0:2...
Split delimited strings in a column and insert as new rows [duplicate]
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Here is another way of doing it..
df <- read.table(textConnection("1|a,b,c\n2|a,c\n3|b,d\n4|e,f"), header = F, sep = "|", stringsAsFactors = F)
df
## V1 V2
## 1 1 a,b,c
## 2 2 a,c
## 3 3 b,d
## 4 4 e,f
s <- strsplit(df$V2, split = ",")
data.frame(V1 = rep(df$V1, sapply(s,...