the list elements differ in length.
A.K.
- Original Message -
From: "raphael.fel...@art.admin.ch"
To: r-help@r-project.org
Cc:
Sent: Thursday, December 13, 2012 3:20 AM
Subject: [R] remove NA in df results in NA, NA.1 ... rows
Good morning!
I have the following data
You can use "complete.cases":
df <- df[complete.cases(df), ]
On Thu, Dec 13, 2012 at 3:20 AM, wrote:
> Good morning!
>
> I have the following data frame (df):
>
> X.outer Y.outer X.PAD1 Y.PAD1 X.PAD2 Y.PAD2 X.PAD3 Y.PAD3
> X.PAD4 Y.PAD4
> 73 574690.0 179740.0 574690.2 179740.0
is.na(df2) is not doing what you think it is doing. Perhaps you should read
?na.omit.
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
df2 <- df2[!is.na(df2),] isn't doing what you want it to do because
df2 is a data.frame and not a vector
to solve your problem, review
http://stackoverflow.com/questions/4862178/r-remove-rows-with-nas-in-data-frame
On Thu, Dec 13, 2012 at 3:20 AM, wrote:
> Good morning!
>
> I have the f
Hi Raphael,
see below.
I have the following data frame (df):
...
> df2
X.PAD2 Y.PAD2
73 574618.3 179650
74 574719.0 179688
75 574719.0 179688
76 574723.5 179678
77 574724.9 179673
78 574747.1 179598
79 574641.8 179570
80 574639.6 179573
81 574618.3 179650
82 NA NA
83 NA
Good morning!
I have the following data frame (df):
X.outer Y.outer X.PAD1 Y.PAD1 X.PAD2 Y.PAD2 X.PAD3 Y.PAD3 X.PAD4
Y.PAD4
73 574690.0 179740.0 574690.2 179740.0 574618.3 179650 574729.2 179674 574747.1
179598
74 574680.6 179737.0 574693.4 179740.0 574719.0 179688 574831.8 17969
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